diff --git "a/index.html" "b/index.html"
--- "a/index.html"
+++ "b/index.html"
@@ -5,7 +5,7 @@
 <meta name="viewport" content="width=device-width, initial-scale=1.0">
 <title>cheRAGh — Persian RAG Embedding Benchmark</title>
 <script src="https://cdn.plot.ly/plotly-2.32.0.min.js"></script>
-<link href="https://fonts.googleapis.com/css2?family=Space+Grotesk:wght@300;400;500;600;700&family=JetBrains+Mono:wght@400;500&display=swap" rel="stylesheet">
+<link href="https://fonts.googleapis.com/css2?family=Space+Grotesk:wght@300;400;500;600;700&family=JetBrains+Mono:wght@400;500&family=Vazirmatn:wght@300;400;500;600;700&display=swap" rel="stylesheet">
 <style>
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   --bg:#0b0f1a;--surface:#111827;--surface2:#1a2235;--surface3:#0f172a;
@@ -14,7 +14,7 @@
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   --input-bg:#1a2235;--input-border:rgba(255,255,255,0.13);
-  --font:'Space Grotesk',system-ui,sans-serif;--mono:'JetBrains Mono',monospace;
+  --font:'Space Grotesk',system-ui,sans-serif;--mono:'JetBrains Mono',monospace;--font-fa:'Vazirmatn',system-ui,sans-serif;
   --radius:12px;--radius-sm:6px;--radius-xs:4px;
   --sidebar-bg:#0d1424;--sidebar-w:300px;
   --plotly-grid:rgba(255,255,255,0.05);--plotly-tick:#64748b;
@@ -45,7 +45,15 @@ a{color:inherit;text-decoration:none;}
   display:flex;align-items:center;justify-content:space-between;
   padding:0 28px;height:52px;gap:16px;
 }
+/* Logo image: right side in EN (after text), left side in FA (before text in RTL) */
 .topbar-logo{display:flex;align-items:center;gap:10px;}
+.topbar-logo-img{
+  height:34px;width:auto;object-fit:contain;border-radius:6px;
+  flex-shrink:0;
+}
+/* In FA mode the whole topbar flips to RTL, so image naturally goes to left */
+[data-lang="fa"] .topbar{direction:rtl;}
+[data-lang="fa"] .topbar-right{direction:ltr;}
 .topbar-logo-text{font-size:15px;font-weight:700;color:var(--text);}
 .topbar-logo-text em{font-style:normal;color:var(--accent);}
 .topbar-logo-sub{font-size:11px;color:var(--muted);font-family:var(--mono);}
@@ -187,22 +195,63 @@ a{color:inherit;text-decoration:none;}
 }
 .hero-lyric-line.fa{
   direction:rtl;font-size:16px;color:var(--accent3);
-  font-family:system-ui,'Segoe UI',Tahoma,sans-serif;
+  font-family:var(--font-fa);line-height:1.8;
 }
 
 .hero-desc{max-width:700px;color:var(--text2);font-size:14px;line-height:1.7;margin-bottom:24px;}
-.hero-desc.fa{direction:rtl;text-align:right;font-family:system-ui,'Segoe UI',Tahoma,sans-serif;font-size:14px;}
+.hero-desc.fa{direction:rtl;text-align:right;font-family:var(--font-fa);font-size:14px;}
+/* Global Persian font rule */
+.lang-fa,.fa{font-family:var(--font-fa);}
 .hero-stats{display:flex;flex-wrap:wrap;gap:26px;}
 .hero-stat-val{font-size:24px;font-weight:700;color:var(--text);font-family:var(--mono);line-height:1;}
 .hero-stat-label{font-size:11px;color:var(--muted);text-transform:uppercase;letter-spacing:.08em;margin-top:3px;}
 
+/* ── HERO TWO-COLUMN LAYOUT ──────────────────────────── */
+.hero-layout{
+  display:grid;
+  grid-template-columns:1fr 1fr;
+  gap:48px;
+  align-items:center;
+}
+.hero-content{min-width:0;}
+.hero-image-col{
+  display:flex;
+  align-items:center;
+  justify-content:center;
+  padding:12px;
+}
+.hero-image-col img{
+  width:100%;
+  max-width:580px;
+  height:auto;
+  border-radius:var(--radius);
+  object-fit:contain;
+  display:block;
+  filter:drop-shadow(0 8px 32px rgba(56,189,248,.18));
+  transition:filter .4s ease;
+}
+.hero-image-col img:hover{
+  filter:drop-shadow(0 12px 40px rgba(56,189,248,.20)) brightness(1.15) saturate(1.09);
+}
+[data-theme="light"] .hero-image-col img{
+  filter:drop-shadow(0 8px 32px rgba(2,132,199,.14));
+}
+/* In FA mode the grid reverses so image appears on left, text on right */
+[data-lang="fa"] .hero-layout{direction:rtl;}
+[data-lang="fa"] .hero-content{direction:rtl;}
+@media(max-width:900px){
+  .hero-layout{grid-template-columns:1fr;gap:28px;}
+  .hero-image-col{padding:0 8px;}
+  .hero-image-col img{max-width:340px;margin:0 auto;}
+}
+
 /* ── SECTION ─────────────────────────────────────────── */
 .section{padding:50px 0 0;}
 .section-head{display:flex;align-items:baseline;gap:14px;margin-bottom:22px;padding-bottom:14px;border-bottom:1px solid var(--border);}
 .section-num{font-size:11px;font-weight:600;letter-spacing:.12em;text-transform:uppercase;color:var(--accent2);font-family:var(--mono);}
 .section-title{font-size:20px;font-weight:600;}
 .section-desc{color:var(--muted);font-size:13px;margin-top:4px;line-height:1.6;}
-.section-desc.fa{direction:rtl;text-align:right;font-family:system-ui,'Segoe UI',Tahoma,sans-serif;}
+.section-desc.fa{direction:rtl;text-align:right;font-family:var(--font-fa);}
 
 /* ── DATASET CARDS ───────────────────────────────────── */
 .ds-grid{display:flex;flex-wrap:wrap;gap:10px;margin-bottom:24px;}
@@ -214,7 +263,7 @@ a{color:inherit;text-decoration:none;}
 .ds-icon{font-size:20px;line-height:1;flex-shrink:0;margin-top:2px;}
 .ds-card-name{font-size:13px;font-weight:600;margin-bottom:3px;}
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-.ds-card-desc.fa{direction:rtl;font-family:system-ui,'Segoe UI',Tahoma,sans-serif;}
+.ds-card-desc.fa{direction:rtl;font-family:var(--font-fa);}
 
 /* ── CONTROLS + TABLE ────────────────────────────────── */
 .controls-bar{display:flex;align-items:center;gap:10px;flex-wrap:wrap;padding:14px 0 0;}
@@ -308,7 +357,7 @@ td.rank-cell{font-size:15px;font-weight:700;width:38px;text-align:center;}
 .hm-th-model{
   position:sticky;top:0;z-index:3;background:var(--surface2);
   border-bottom:2px solid var(--border2);border-right:1px solid var(--border);
-  padding:0;width:42px;min-width:42px;max-width:42px;vertical-align:bottom;
+  padding:0;width:40px;min-width:40px;max-width:40px;vertical-align:bottom;
 }
 .hm-model-name{
   writing-mode:vertical-rl;transform:rotate(180deg);
@@ -330,7 +379,7 @@ td.rank-cell{font-size:15px;font-weight:700;width:38px;text-align:center;}
 .hm-avg-row{background:var(--surface2)!important;color:var(--accent2)!important;border-top:2px solid var(--border2);}
 .hm-cell{
   padding:6px 3px;text-align:center;border-right:1px solid var(--border);border-bottom:1px solid var(--border);
-  width:42px;min-width:42px;cursor:default;transition:filter .12s;
+  width:40px;min-width:40px;cursor:default;transition:filter .12s;
 }
 .hm-cell:hover{filter:brightness(1.15);outline:1px solid rgba(255,255,255,.3);}
 .hm-val{font-size:11px;font-weight:600;font-family:var(--mono);}
@@ -343,7 +392,7 @@ td.rank-cell{font-size:15px;font-weight:700;width:38px;text-align:center;}
 .explainer-card{background:var(--surface);border:1px solid var(--border);border-radius:var(--radius);padding:16px;}
 .explainer-title{font-size:13px;font-weight:600;margin-bottom:7px;}
 .explainer-body{font-size:13px;color:var(--text2);line-height:1.7;}
-.explainer-body.fa{direction:rtl;text-align:right;font-family:system-ui,'Segoe UI',Tahoma,sans-serif;}
+.explainer-body.fa{direction:rtl;text-align:right;font-family:var(--font-fa);}
 .footer{
   margin-top:60px;padding:18px 0;border-top:1px solid var(--border);
   display:flex;justify-content:space-between;align-items:center;
@@ -368,8 +417,11 @@ td.rank-cell{font-size:15px;font-weight:700;width:38px;text-align:center;}
 <!-- TOPBAR -->
 <div class="topbar">
   <div class="topbar-logo">
+    <img class="topbar-logo-img" src="logo.png"
+         onerror="this.style.display='none'"
+         alt="cheRAGh logo">
     <div>
-      <div class="topbar-logo-text"><em>che</em>RAGh · چراغ</div>
+      <div class="topbar-logo-text"><em>che</em>RAG<em>h</em> · چراغ</div>
       <div class="topbar-logo-sub">Persian RAG Benchmark</div>
     </div>
   </div>
@@ -445,40 +497,65 @@ td.rank-cell{font-size:15px;font-weight:700;width:38px;text-align:center;}
   <div class="hero-bg"></div>
   <div class="hero-grid"></div>
   <div class="page hero-inner">
-    <div class="hero-badge"><span></span> cheRAGh · چراغ · Embedding Benchmark</div>
+    <div class="hero-layout">
+
+      <!-- Text column -->
+      <div class="hero-content">
+        <div class="hero-badge"><span></span> cheRAGh · چراغ · Embedding Benchmark</div>
+
+        <h1 class="lang-en">Persian RAG<br><em>Embedding Evaluation</em></h1>
+        <h1 class="lang-fa" style="display:none;direction:rtl">بنچمارک RAG فارسی<br><em>ارزیابی مدل‌های Embedding</em></h1>
 
-    <h1 class="lang-en">Persian RAG<br><em>Embedding Evaluation</em></h1>
-    <h1 class="lang-fa" style="display:none;direction:rtl">بنچمارک RAG فارسی<br><em>ارزیابی مدل‌های Embedding</em></h1>
+        <div class="hero-subtitle lang-en">cheRAGh — Benchmarking Suite for Persian RAG Systems</div>
+        <div class="hero-subtitle lang-fa" style="display:none;direction:rtl">چراغ — محک سامانه‌های RAG در زبان فارسی</div>
 
-    <div class="hero-subtitle lang-en">cheRAGh — Benchmarking Suite for Persian RAG Systems</div>
-    <div class="hero-subtitle lang-fa" style="display:none;direction:rtl">چراغ — مجموعه ارزیابی سامانه‌های RAG در زبان فارسی</div>
+        <div class="hero-lyric">
+          <div class="hero-lyric-line fa">چراغِ جست‌وجو افروختیم در شامِ پرسش‌ها</div>
+          <div class="hero-lyric-line fa">که پیدا گردد از نورش، رهِ پاسخ زِ چالش‌ها</div>
+          <div class="hero-lyric-line lang-en" style="margin-top:6px;font-size:13px;color:var(--muted);font-style:normal">
+            We lit the lamp of search in the night of questions,<br>
+            so its light may reveal the path of answers from challenges.
+          </div>
+        </div>
+        
+        <p class="hero-desc lang-en">
+          <strong>cheRAGh (چراغ)</strong> is a unified benchmarking suite for Persian Retrieval-Augmented Generation (RAG) systems, covering embedding models, rerankers, retrieval quality, tool calling, and large language model performance across diverse Persian-language datasets from general, scientific, educational, legal, and religious domains.
+        </p>       
+        <p class="hero-desc lang-en">
+          This report presents the evaluation results of embedding models in the <strong>cheRAGh</strong> benchmark. Retrieval performance is measured using <strong>Recall@5</strong> and <strong>MRR</strong>.
+        </p>
+        <p class="hero-desc fa lang-fa" style="display:none">
+         پروژه <strong>چراغ (cheRAGh)</strong>  —
+          مجموعه‌ای یکپارچه برای محک سامانه‌های RAG در زبان فارسی است که
+        مدل‌های Embedding، Reranker، کیفیت بازیابی، فراخوانی ابزار و عملکرد مدل‌های زبانی بزرگ را پوشش می‌دهد.
+          عملکرد مدل‌ها بر روی مجموعه‌داده‌های فارسی در جنبه‌های مختلف عمومی، علمی، آموزشی، حقوقی و دینی ارزیابی می‌شود. 
+        </p>
+        <p class="hero-desc fa lang-fa" style="display:none">
+          این گزارش نتایج ارزیابی مدل‌های Embedding در پروژه <strong>چراغ</strong> است، معیارهای <strong>Recall@5</strong> و <strong>MRR</strong> برای سنجش کیفیت بازیابی به‌کار رفته‌اند.
+        </p>
+
+        <div class="hero-stats">
+          <div><div class="hero-stat-val">31</div><div class="hero-stat-label lang-en">Models</div><div class="hero-stat-label lang-fa" style="display:none">مدل</div></div>
+          <div><div class="hero-stat-val">5</div><div class="hero-stat-label lang-en">Domains</div><div class="hero-stat-label lang-fa" style="display:none">حوزه</div></div>
+          <div><div class="hero-stat-val">0.650</div><div class="hero-stat-label">Avg MRR</div></div>
+          <div><div class="hero-stat-val">0.717</div><div class="hero-stat-label">Avg Recall@5</div></div>
+        </div>
+      </div>
 
-    <div class="hero-lyric">
-      <div class="hero-lyric-line fa">چراغِ جست‌وجو افروختیم در شامِ پرسش‌ها</div>
-      <div class="hero-lyric-line fa">که پیدا گردد از نورش، رهِ پاسخ ز چالش‌ها</div>
-      <div class="hero-lyric-line lang-en" style="margin-top:6px;font-size:13px;color:var(--muted);font-style:normal">
-        We lit the lamp of search in the night of questions,<br>
-        so its light may reveal the path of answers from challenges.
+      <!-- Image column: shows lang-specific illustration -->
+      <div class="hero-image-col">
+        <img class="lang-en" src="img-en.png"
+             style="opacity:0;transition:opacity .4s"
+             onload="this.style.opacity='1'"
+             onerror="this.style.display='none'"
+             alt="">
+        <img class="lang-fa" src="img-pr.png"
+             style="display:none;opacity:0;transition:opacity .4s"
+             onload="this.style.opacity='1'"
+             onerror="this.style.display='none'"
+             alt="">
       </div>
-    </div>
 
-    <p class="hero-desc lang-en">
-      This report presents embedding model evaluation results from <strong>cheRAGh (چراغ)</strong> — a unified benchmarking suite for Persian RAG systems.
-      Models are evaluated across diverse Persian-language corpora spanning multiple knowledge domains,
-      using <strong>Recall@5</strong> and <strong>MRR</strong> to measure retrieval effectiveness and ranking quality.
-    </p>
-    <p class="hero-desc fa lang-fa" style="display:none">
-      این گزارش نتایج ارزیابی مدل‌های Embedding در پروژه <strong>چراغ (cheRAGh)</strong> را ارائه می‌دهد —
-      مجموعه‌ای یکپارچه برای ارزیابی سامانه‌های RAG در زبان فارسی.
-      مدل‌ها بر روی مجموعه‌داده‌های فارسی در حوزه‌های مختلف ارزیابی شده‌اند
-      و معیارهای <strong>Recall@5</strong> و <strong>MRR</strong> برای سنجش کیفیت بازیابی به‌کار رفته‌اند.
-    </p>
-
-    <div class="hero-stats">
-      <div><div class="hero-stat-val">29</div><div class="hero-stat-label lang-en">Models</div><div class="hero-stat-label lang-fa" style="display:none">مدل</div></div>
-      <div><div class="hero-stat-val">5</div><div class="hero-stat-label lang-en">Domains</div><div class="hero-stat-label lang-fa" style="display:none">حوزه</div></div>
-      <div><div class="hero-stat-val">0.634</div><div class="hero-stat-label">Avg MRR</div></div>
-      <div><div class="hero-stat-val">0.701</div><div class="hero-stat-label">Avg Recall@5</div></div>
     </div>
   </div>
 </div>
@@ -507,15 +584,15 @@ td.rank-cell{font-size:15px;font-weight:700;width:38px;text-align:center;}
       <div class="section-title lang-en">Leaderboard</div>
       <div class="section-title lang-fa" style="display:none">جدول رتبه‌بندی</div>
       <div class="section-desc lang-en">
-        <span style="color:var(--high)">Green ≥ 0.80</span> ·
-        <span style="color:var(--mid)">Orange 0.60–0.79</span> ·
-        <span style="color:var(--low)">Red &lt; 0.60</span> ·
+        <span style="color:var(--high)">Green ≥ 0.75</span> ·
+        <span style="color:var(--mid)">Orange 0.50–0.74</span> ·
+        <span style="color:var(--low)">Red &lt; 0.50</span> ·
         <span style="color:var(--best)">Bold green = best in column</span>
       </div>
       <div class="section-desc lang-fa" style="display:none;direction:rtl">
-        <span style="color:var(--high)">سبز ≥ ۰.۸۰</span> ·
-        <span style="color:var(--mid)">نارنجی ۰.۶۰–۰.۷۹</span> ·
-        <span style="color:var(--low)">قرمز &lt; ۰.۶۰</span> ·
+        <span style="color:var(--high)">سبز ≥ ۰.۷۵</span> ·
+        <span style="color:var(--mid)">نارنجی ۰.۵۰–۰.۷۴</span> ·
+        <span style="color:var(--low)">قرمز &lt; ۰.۵۰</span> ·
         <span style="color:var(--best)">سبز پررنگ = بهترین در ستون</span>
       </div>
     </div>
@@ -640,8 +717,8 @@ td.rank-cell{font-size:15px;font-weight:700;width:38px;text-align:center;}
     </div>
     <div class="explainer-card">
       <div class="explainer-title" style="color:var(--accent2)">Recall@5</div>
-      <div class="explainer-body lang-en">Fraction of queries where the correct document appears in the top-k results. Presence matters, not rank — key for RAG pipelines with a downstream reranker.</div>
-      <div class="explainer-body lang-fa fa" style="display:none">نسبت پرسش‌هایی که سند صحیح در top-k ظاهر می‌شود. حضور مهم است نه رتبه — کلیدی برای پایپ‌لاین‌های RAG با reranker.</div>
+      <div class="explainer-body lang-en">Fraction of queries where the correct document appears in the top-k results.</div>
+      <div class="explainer-body lang-fa fa" style="display:none">نسبت پرسش‌هایی که سند صحیح در top-k ظاهر می‌شود.</div>
     </div>
     <div class="explainer-card">
       <div class="explainer-title" style="color:var(--accent3)">
@@ -652,20 +729,21 @@ td.rank-cell{font-size:15px;font-weight:700;width:38px;text-align:center;}
         <strong>cheRAGh (چراغ)</strong> is a unified benchmarking suite for Persian RAG systems,
         covering embeddings, rerankers, retrieval quality, tool calling, and end-to-end pipeline performance.
       </div>
+
       <div class="explainer-body lang-fa fa" style="display:none">
-        <strong>چراغ (cheRAGh)</strong> مجموعه‌ای یکپارچه برای ارزیابی سامانه‌های RAG در زبان فارسی است که
-        مدل‌های Embedding، Reranker، کیفیت بازیابی، فراخوانی ابزار و عملکرد کامل پایپ‌لاین را پوشش می‌دهد.
+        پروژه <strong>چراغ (cheRAGh)</strong> برای محک سامانه‌های RAG در زبان فارسی است که
+        مدل‌های Embedding، Reranker، کیفیت بازیابی، فراخوانی ابزار و عملکرد مدل‌های زبانی بزرگ را پوشش می‌دهد.
       </div>
     </div>
   </div>
 </div>
 
 <div class="footer">
-  <div>cheRAGh · <a href="https://huggingface.co/cheRAGh" target="_blank">HuggingFace</a> · 2026-06-28 07:17</div>
+  <div>cheRAGh · <a href="https://huggingface.co/QomSSLab" target="_blank">HuggingFace</a> · 2026-06-30 07:38</div>
   <div>
-    <span style="color:var(--high)">● ≥ 0.80</span> &ensp;
-    <span style="color:var(--mid)">● 0.60–0.79</span> &ensp;
-    <span style="color:var(--low)">● &lt; 0.60</span> &ensp;
+    <span style="color:var(--high)">● ≥ 0.75</span> &ensp;
+    <span style="color:var(--mid)">● 0.50–0.74</span> &ensp;
+    <span style="color:var(--low)">● &lt; 0.50</span> &ensp;
     <span style="color:var(--best)">● best</span>
   </div>
 </div>
@@ -690,14 +768,14 @@ td.rank-cell{font-size:15px;font-weight:700;width:38px;text-align:center;}
         <tr>
         <th rowspan="2" style="vertical-align:middle;text-align:center;width:50px;" onclick="sortByRank()"># <span class="sort-icon">⇅</span></th>
         <th rowspan="2" style="vertical-align:middle;text-align:left;min-width:180px;" onclick="sortTable(1)">Model <span class="sort-icon">⇅</span></th>
-        <th rowspan="2" class="model-info-col" style="vertical-align:middle;text-align:center;font-size:0.75em;background:#3d4f6b;">Context Len</th><th rowspan="2" class="model-info-col" style="vertical-align:middle;text-align:center;font-size:0.75em;background:#3d4f6b;">Emb Dim</th><th rowspan="2" class="model-info-col" style="vertical-align:middle;text-align:center;font-size:0.75em;background:#3d4f6b;">Params</th><th rowspan="2" class="model-info-col" style="vertical-align:middle;text-align:center;font-size:0.75em;background:#3d4f6b;">Size</th><th rowspan="2" class="model-info-col" style="vertical-align:middle;text-align:center;font-size:0.75em;background:#3d4f6b;">Type</th><th colspan="2" style="text-align:center;background:linear-gradient(135deg,#5a67d8,#6b46c1);" onclick="sortByDataset(0)">Education <span class="sort-icon">⇅</span></th><th colspan="2" style="text-align:center;background:linear-gradient(135deg,#5a67d8,#6b46c1);" onclick="sortByDataset(1)">General <span class="sort-icon">⇅</span></th><th colspan="2" style="text-align:center;background:linear-gradient(135deg,#5a67d8,#6b46c1);" onclick="sortByDataset(2)">Legal <span class="sort-icon">⇅</span></th><th colspan="2" style="text-align:center;background:linear-gradient(135deg,#5a67d8,#6b46c1);" onclick="sortByDataset(3)">Religious <span class="sort-icon">⇅</span></th><th colspan="2" style="text-align:center;background:linear-gradient(135deg,#5a67d8,#6b46c1);" onclick="sortByDataset(4)">Scientific <span class="sort-icon">⇅</span></th><th colspan="2" style="text-align:center;background:linear-gradient(135deg,#6b46c1,#805ad5);" onclick="sortByAverage()">Avg <span class="sort-icon">⇅</span></th></tr><tr><th style="text-align:center;background:#4a5568;" onclick="sortByMetric('mrr',0)">MRR</th><th style="text-align:center;background:#4a5568;" onclick="sortByMetric('recall',0)">Recall@5</th><th style="text-align:center;background:#4a5568;" onclick="sortByMetric('mrr',1)">MRR</th><th style="text-align:center;background:#4a5568;" onclick="sortByMetric('recall',1)">Recall@5</th><th style="text-align:center;background:#4a5568;" onclick="sortByMetric('mrr',2)">MRR</th><th style="text-align:center;background:#4a5568;" onclick="sortByMetric('recall',2)">Recall@5</th><th style="text-align:center;background:#4a5568;" onclick="sortByMetric('mrr',3)">MRR</th><th style="text-align:center;background:#4a5568;" onclick="sortByMetric('recall',3)">Recall@5</th><th style="text-align:center;background:#4a5568;" onclick="sortByMetric('mrr',4)">MRR</th><th style="text-align:center;background:#4a5568;" onclick="sortByMetric('recall',4)">Recall@5</th><th style="text-align:center;background:#4a5568;" onclick="sortByMetric('avg_mrr')">MRR</th><th style="text-align:center;background:#4a5568;" onclick="sortByMetric('avg_recall')">Recall@5</th></tr></thead><tbody><tr data-model="codefuse-ai/F2LLM-v2-4B"><td style="text-align:center;font-weight:700;" class="rank-cell">🥇</td><td style="text-align:left;font-weight:600;"><strong>codefuse-ai/F2LLM-v2-4B</strong></td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">32768</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">2560</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">4.0B</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">~16 GB</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">Decoder-only (F2LLM-v2 embedding model)</td><td style="text-align:center;" data-mrr="0.8150"><span class="score-badge score-high">0.8150</span></td><td style="text-align:center;" data-recall="0.9463"><span class="score-badge score-high">0.9463</span></td><td style="text-align:center;" data-mrr="0.8693"><span class="score-badge score-high">0.8693</span></td><td style="text-align:center;" data-recall="0.9420"><span class="score-badge score-high">0.9420</span></td><td style="text-align:center;" data-mrr="0.9340"><span class="score-badge score-high">0.9340</span></td><td style="text-align:center;" data-recall="0.9800"><span class="score-badge score-high">0.9800</span></td><td style="text-align:center;" data-mrr="0.7899"><span class="score-badge score-high">0.7899</span></td><td style="text-align:center;" data-recall="0.8586"><span class="score-badge score-high">0.8586</span></td><td style="text-align:center;" data-mrr="0.9769"><span class="score-badge score-high">0.9769</span></td><td style="text-align:center;" data-recall="0.9920"><span class="score-badge score-high">0.9920</span></td><td style="text-align:center;background:rgba(102,126,234,0.15);" data-avg-mrr="0.8770"><span class="score-badge score-high"><strong>0.8770</strong></span></td><td style="text-align:center;background:rgba(102,126,234,0.15);" data-avg-recall="0.9438"><span class="score-badge score-high"><strong>0.9438</strong></span></td></tr><tr data-model="Snowflake/snowflake-arctic-embed-l-v2.0 *"><td style="text-align:center;font-weight:700;" class="rank-cell">🥈</td><td style="text-align:left;font-weight:600;"><strong>Snowflake/snowflake-arctic-embed-l-v2.0 *</strong></td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">8192</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">1024</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">568M</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">~2.2 GB</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">Transformer-based</td><td style="text-align:center;" data-mrr="0.8430"><span class="score-badge score-high">0.8430</span></td><td style="text-align:center;" data-recall="0.9756"><span class="score-badge score-high">0.9756</span></td><td style="text-align:center;" data-mrr="0.8235"><span class="score-badge score-high">0.8235</span></td><td style="text-align:center;" data-recall="0.9200"><span class="score-badge score-high">0.9200</span></td><td style="text-align:center;" data-mrr="0.9715"><span class="score-badge score-high">0.9715</span></td><td style="text-align:center;" data-recall="0.9980"><span class="score-badge score-high">0.9980</span></td><td style="text-align:center;" data-mrr="0.7555"><span class="score-badge score-high">0.7555</span></td><td style="text-align:center;" data-recall="0.8307"><span class="score-badge score-high">0.8307</span></td><td style="text-align:center;" data-mrr="0.9867"><span class="score-badge score-high">0.9867</span></td><td style="text-align:center;" data-recall="1.0000"><span class="score-badge score-high">1.0000</span></td><td style="text-align:center;background:rgba(102,126,234,0.15);" data-avg-mrr="0.8760"><span class="score-badge score-high"><strong>0.8760</strong></span></td><td style="text-align:center;background:rgba(102,126,234,0.15);" data-avg-recall="0.9449"><span class="score-badge score-high"><strong>0.9449</strong></span></td></tr><tr data-model="BAAI/bge-m3"><td style="text-align:center;font-weight:700;" class="rank-cell">🥉</td><td style="text-align:left;font-weight:600;"><strong>BAAI/bge-m3</strong></td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">8192</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">1024</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">568M</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">~2.3 GB</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">BERT-based</td><td style="text-align:center;" data-mrr="0.8056"><span class="score-badge score-high">0.8056</span></td><td style="text-align:center;" data-recall="0.9220"><span class="score-badge score-high">0.9220</span></td><td style="text-align:center;" data-mrr="0.8027"><span class="score-badge score-high">0.8027</span></td><td style="text-align:center;" data-recall="0.8740"><span class="score-badge score-high">0.8740</span></td><td style="text-align:center;" data-mrr="0.9766"><span class="score-badge score-high">0.9766</span></td><td style="text-align:center;" data-recall="0.9940"><span class="score-badge score-high">0.9940</span></td><td style="text-align:center;" data-mrr="0.7584"><span class="score-badge score-high">0.7584</span></td><td style="text-align:center;" data-recall="0.8287"><span class="score-badge score-high">0.8287</span></td><td style="text-align:center;" data-mrr="0.9813"><span class="score-badge score-high">0.9813</span></td><td style="text-align:center;" data-recall="0.9960"><span class="score-badge score-high">0.9960</span></td><td style="text-align:center;background:rgba(102,126,234,0.15);" data-avg-mrr="0.8649"><span class="score-badge score-high"><strong>0.8649</strong></span></td><td style="text-align:center;background:rgba(102,126,234,0.15);" data-avg-recall="0.9229"><span class="score-badge score-high"><strong>0.9229</strong></span></td></tr><tr data-model="Qwen/Qwen3-Embedding-4B"><td style="text-align:center;font-weight:700;" class="rank-cell">4</td><td style="text-align:left;font-weight:600;"><strong>Qwen/Qwen3-Embedding-4B</strong></td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">32k</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">2560</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">4.0B</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">~16 GB</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">Decoder-only (Qwen3)</td><td style="text-align:center;" data-mrr="0.8404"><span class="score-badge score-high">0.8404</span></td><td style="text-align:center;" data-recall="0.9659"><span class="score-badge score-high">0.9659</span></td><td style="text-align:center;" data-mrr="0.7854"><span class="score-badge score-high">0.7854</span></td><td style="text-align:center;" data-recall="0.8560"><span class="score-badge score-high">0.8560</span></td><td style="text-align:center;" data-mrr="0.9640"><span class="score-badge score-high">0.9640</span></td><td style="text-align:center;" data-recall="0.9860"><span class="score-badge score-high">0.9860</span></td><td style="text-align:center;" data-mrr="0.7260"><span class="score-badge score-high">0.7260</span></td><td style="text-align:center;" data-recall="0.8088"><span class="score-badge score-high">0.8088</span></td><td style="text-align:center;" data-mrr="0.9725"><span class="score-badge score-high">0.9725</span></td><td style="text-align:center;" data-recall="0.9841"><span class="score-badge score-high">0.9841</span></td><td style="text-align:center;background:rgba(102,126,234,0.15);" data-avg-mrr="0.8577"><span class="score-badge score-high"><strong>0.8577</strong></span></td><td style="text-align:center;background:rgba(102,126,234,0.15);" data-avg-recall="0.9201"><span class="score-badge score-high"><strong>0.9201</strong></span></td></tr><tr data-model="Octen/Octen-Embedding-4B"><td style="text-align:center;font-weight:700;" class="rank-cell">5</td><td style="text-align:left;font-weight:600;"><strong>Octen/Octen-Embedding-4B</strong></td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">32768</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">2560</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">4.0B</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">~16 GB</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">Decoder-only (Qwen3-based)</td><td style="text-align:center;" data-mrr="0.8510"><span class="score-badge score-high">0.8510</span></td><td style="text-align:center;" data-recall="0.9610"><span class="score-badge score-high">0.9610</span></td><td style="text-align:center;" data-mrr="0.7917"><span class="score-badge score-high">0.7917</span></td><td style="text-align:center;" data-recall="0.8840"><span class="score-badge score-high">0.8840</span></td><td style="text-align:center;" data-mrr="0.9375"><span class="score-badge score-high">0.9375</span></td><td style="text-align:center;" data-recall="0.9820"><span class="score-badge score-high">0.9820</span></td><td style="text-align:center;" data-mrr="0.7230"><span class="score-badge score-high">0.7230</span></td><td style="text-align:center;" data-recall="0.8068"><span class="score-badge score-high">0.8068</span></td><td style="text-align:center;" data-mrr="0.9838"><span class="score-badge score-high">0.9838</span></td><td style="text-align:center;" data-recall="0.9900"><span class="score-badge score-high">0.9900</span></td><td style="text-align:center;background:rgba(102,126,234,0.15);" data-avg-mrr="0.8574"><span class="score-badge score-high"><strong>0.8574</strong></span></td><td style="text-align:center;background:rgba(102,126,234,0.15);" data-avg-recall="0.9248"><span class="score-badge score-high"><strong>0.9248</strong></span></td></tr><tr data-model="bflhc/MoD-Embedding"><td style="text-align:center;font-weight:700;" class="rank-cell">6</td><td style="text-align:left;font-weight:600;"><strong>bflhc/MoD-Embedding</strong></td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">32768</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">2560</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">4.0B</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">~16 GB</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">Decoder-only (Qwen3-Embedding-4B + LoRA)</td><td style="text-align:center;" data-mrr="0.8365"><span class="score-badge score-high">0.8365</span></td><td style="text-align:center;" data-recall="0.9707"><span class="score-badge score-high">0.9707</span></td><td style="text-align:center;" data-mrr="0.7947"><span class="score-badge score-high">0.7947</span></td><td style="text-align:center;" data-recall="0.8800"><span class="score-badge score-high">0.8800</span></td><td style="text-align:center;" data-mrr="0.9405"><span class="score-badge score-high">0.9405</span></td><td style="text-align:center;" data-recall="0.9800"><span class="score-badge score-high">0.9800</span></td><td style="text-align:center;" data-mrr="0.7249"><span class="score-badge score-high">0.7249</span></td><td style="text-align:center;" data-recall="0.8187"><span class="score-badge score-high">0.8187</span></td><td style="text-align:center;" data-mrr="0.9767"><span class="score-badge score-high">0.9767</span></td><td style="text-align:center;" data-recall="0.9900"><span class="score-badge score-high">0.9900</span></td><td style="text-align:center;background:rgba(102,126,234,0.15);" data-avg-mrr="0.8547"><span class="score-badge score-high"><strong>0.8547</strong></span></td><td style="text-align:center;background:rgba(102,126,234,0.15);" data-avg-recall="0.9279"><span class="score-badge score-high"><strong>0.9279</strong></span></td></tr><tr data-model="nvidia/llama-nemotron-embed-1b-v2 *"><td style="text-align:center;font-weight:700;" class="rank-cell">7</td><td style="text-align:left;font-weight:600;"><strong>nvidia/llama-nemotron-embed-1b-v2 *</strong></td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">8192</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">2048</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">1.2B</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">~4 GB</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">Decoder-only (Llama-based)</td><td style="text-align:center;" data-mrr="0.8693"><span class="score-badge score-high">0.8693</span></td><td style="text-align:center;" data-recall="0.9610"><span class="score-badge score-high">0.9610</span></td><td style="text-align:center;" data-mrr="0.7814"><span class="score-badge score-high">0.7814</span></td><td style="text-align:center;" data-recall="0.8720"><span class="score-badge score-high">0.8720</span></td><td style="text-align:center;" data-mrr="0.9745"><span class="score-badge score-high">0.9745</span></td><td style="text-align:center;" data-recall="0.9960"><span class="score-badge score-high">0.9960</span></td><td style="text-align:center;" data-mrr="0.6602"><span class="score-badge score-medium">0.6602</span></td><td style="text-align:center;" data-recall="0.7510"><span class="score-badge score-high">0.7510</span></td><td style="text-align:center;" data-mrr="0.9849"><span class="score-badge score-high">0.9849</span></td><td style="text-align:center;" data-recall="0.9980"><span class="score-badge score-high">0.9980</span></td><td style="text-align:center;background:rgba(102,126,234,0.15);" data-avg-mrr="0.8540"><span class="score-badge score-high"><strong>0.8540</strong></span></td><td style="text-align:center;background:rgba(102,126,234,0.15);" data-avg-recall="0.9156"><span class="score-badge score-high"><strong>0.9156</strong></span></td></tr><tr data-model="jinaai/jina-embeddings-v3 *"><td style="text-align:center;font-weight:700;" class="rank-cell">8</td><td style="text-align:left;font-weight:600;"><strong>jinaai/jina-embeddings-v3 *</strong></td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">8192</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">1024</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">570M</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">~2.0–2.4 GB</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">Transformer (BERT-style)</td><td style="text-align:center;" data-mrr="0.7321"><span class="score-badge score-high">0.7321</span></td><td style="text-align:center;" data-recall="0.9024"><span class="score-badge score-high">0.9024</span></td><td style="text-align:center;" data-mrr="0.8044"><span class="score-badge score-high">0.8044</span></td><td style="text-align:center;" data-recall="0.8860"><span class="score-badge score-high">0.8860</span></td><td style="text-align:center;" data-mrr="0.9351"><span class="score-badge score-high">0.9351</span></td><td style="text-align:center;" data-recall="0.9900"><span class="score-badge score-high">0.9900</span></td><td style="text-align:center;" data-mrr="0.7309"><span class="score-badge score-high">0.7309</span></td><td style="text-align:center;" data-recall="0.8167"><span class="score-badge score-high">0.8167</span></td><td style="text-align:center;" data-mrr="0.9648"><span class="score-badge score-high">0.9648</span></td><td style="text-align:center;" data-recall="0.9861"><span class="score-badge score-high">0.9861</span></td><td style="text-align:center;background:rgba(102,126,234,0.15);" data-avg-mrr="0.8334"><span class="score-badge score-high"><strong>0.8334</strong></span></td><td style="text-align:center;background:rgba(102,126,234,0.15);" data-avg-recall="0.9162"><span class="score-badge score-high"><strong>0.9162</strong></span></td></tr><tr data-model="intfloat/multilingual-e5-large-instruct *"><td style="text-align:center;font-weight:700;" class="rank-cell">9</td><td style="text-align:left;font-weight:600;"><strong>intfloat/multilingual-e5-large-instruct *</strong></td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">512</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">1024</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">560M</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">~2.2 GB</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">BERT-based (with instruction tuning)</td><td style="text-align:center;" data-mrr="0.7644"><span class="score-badge score-high">0.7644</span></td><td style="text-align:center;" data-recall="0.9122"><span class="score-badge score-high">0.9122</span></td><td style="text-align:center;" data-mrr="0.7687"><span class="score-badge score-high">0.7687</span></td><td style="text-align:center;" data-recall="0.8560"><span class="score-badge score-high">0.8560</span></td><td style="text-align:center;" data-mrr="0.9498"><span class="score-badge score-high">0.9498</span></td><td style="text-align:center;" data-recall="0.9840"><span class="score-badge score-high">0.9840</span></td><td style="text-align:center;" data-mrr="0.6598"><span class="score-badge score-medium">0.6598</span></td><td style="text-align:center;" data-recall="0.7390"><span class="score-badge score-high">0.7390</span></td><td style="text-align:center;" data-mrr="0.9787"><span class="score-badge score-high">0.9787</span></td><td style="text-align:center;" data-recall="0.9940"><span class="score-badge score-high">0.9940</span></td><td style="text-align:center;background:rgba(102,126,234,0.15);" data-avg-mrr="0.8243"><span class="score-badge score-high"><strong>0.8243</strong></span></td><td style="text-align:center;background:rgba(102,126,234,0.15);" data-avg-recall="0.8971"><span class="score-badge score-high"><strong>0.8971</strong></span></td></tr><tr data-model="jinaai/jina-embeddings-v5-text-small *"><td style="text-align:center;font-weight:700;" class="rank-cell">10</td><td style="text-align:left;font-weight:600;"><strong>jinaai/jina-embeddings-v5-text-small *</strong></td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">32768</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">1024</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">677M</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">~2.7 GB</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">Decoder-only (Qwen3-based)</td><td style="text-align:center;" data-mrr="0.8128"><span class="score-badge score-high">0.8128</span></td><td style="text-align:center;" data-recall="0.9317"><span class="score-badge score-high">0.9317</span></td><td style="text-align:center;" data-mrr="0.7461"><span class="score-badge score-high">0.7461</span></td><td style="text-align:center;" data-recall="0.8400"><span class="score-badge score-high">0.8400</span></td><td style="text-align:center;" data-mrr="0.9137"><span class="score-badge score-high">0.9137</span></td><td style="text-align:center;" data-recall="0.9800"><span class="score-badge score-high">0.9800</span></td><td style="text-align:center;" data-mrr="0.6333"><span class="score-badge score-medium">0.6333</span></td><td style="text-align:center;" data-recall="0.7112"><span class="score-badge score-high">0.7112</span></td><td style="text-align:center;" data-mrr="0.9722"><span class="score-badge score-high">0.9722</span></td><td style="text-align:center;" data-recall="0.9900"><span class="score-badge score-high">0.9900</span></td><td style="text-align:center;background:rgba(102,126,234,0.15);" data-avg-mrr="0.8156"><span class="score-badge score-high"><strong>0.8156</strong></span></td><td style="text-align:center;background:rgba(102,126,234,0.15);" data-avg-recall="0.8906"><span class="score-badge score-high"><strong>0.8906</strong></span></td></tr><tr data-model="microsoft/harrier-oss-v1-0.6b *"><td style="text-align:center;font-weight:700;" class="rank-cell">11</td><td style="text-align:left;font-weight:600;"><strong>microsoft/harrier-oss-v1-0.6b *</strong></td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">32768</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">1024</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">0.6B</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">~2.4 GB</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">Decoder-only (Harrier-based)</td><td style="text-align:center;" data-mrr="0.8210"><span class="score-badge score-high">0.8210</span></td><td style="text-align:center;" data-recall="0.9463"><span class="score-badge score-high">0.9463</span></td><td style="text-align:center;" data-mrr="0.7300"><span class="score-badge score-high">0.7300</span></td><td style="text-align:center;" data-recall="0.8240"><span class="score-badge score-high">0.8240</span></td><td style="text-align:center;" data-mrr="0.9291"><span class="score-badge score-high">0.9291</span></td><td style="text-align:center;" data-recall="0.9700"><span class="score-badge score-high">0.9700</span></td><td style="text-align:center;" data-mrr="0.6187"><span class="score-badge score-medium">0.6187</span></td><td style="text-align:center;" data-recall="0.6992"><span class="score-badge score-medium">0.6992</span></td><td style="text-align:center;" data-mrr="0.9699"><span class="score-badge score-high">0.9699</span></td><td style="text-align:center;" data-recall="0.9920"><span class="score-badge score-high">0.9920</span></td><td style="text-align:center;background:rgba(102,126,234,0.15);" data-avg-mrr="0.8138"><span class="score-badge score-high"><strong>0.8138</strong></span></td><td style="text-align:center;background:rgba(102,126,234,0.15);" data-avg-recall="0.8863"><span class="score-badge score-high"><strong>0.8863</strong></span></td></tr><tr data-model="ibm-granite/granite-embedding-311m-multilingual-r2 *"><td style="text-align:center;font-weight:700;" class="rank-cell">12</td><td style="text-align:left;font-weight:600;"><strong>ibm-granite/granite-embedding-311m-multilingual-r2 *</strong></td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">512</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">768</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">311M</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">~1.2 GB</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">BERT-based</td><td style="text-align:center;" data-mrr="0.7504"><span class="score-badge score-high">0.7504</span></td><td style="text-align:center;" data-recall="0.9024"><span class="score-badge score-high">0.9024</span></td><td style="text-align:center;" data-mrr="0.7799"><span class="score-badge score-high">0.7799</span></td><td style="text-align:center;" data-recall="0.8700"><span class="score-badge score-high">0.8700</span></td><td style="text-align:center;" data-mrr="0.9195"><span class="score-badge score-high">0.9195</span></td><td style="text-align:center;" data-recall="0.9720"><span class="score-badge score-high">0.9720</span></td><td style="text-align:center;" data-mrr="0.6289"><span class="score-badge score-medium">0.6289</span></td><td style="text-align:center;" data-recall="0.7092"><span class="score-badge score-high">0.7092</span></td><td style="text-align:center;" data-mrr="0.9673"><span class="score-badge score-high">0.9673</span></td><td style="text-align:center;" data-recall="0.9920"><span class="score-badge score-high">0.9920</span></td><td style="text-align:center;background:rgba(102,126,234,0.15);" data-avg-mrr="0.8092"><span class="score-badge score-high"><strong>0.8092</strong></span></td><td style="text-align:center;background:rgba(102,126,234,0.15);" data-avg-recall="0.8891"><span class="score-badge score-high"><strong>0.8891</strong></span></td></tr><tr data-model="jinaai/jina-embeddings-v4-vllm-retrieval *"><td style="text-align:center;font-weight:700;" class="rank-cell">13</td><td style="text-align:left;font-weight:600;"><strong>jinaai/jina-embeddings-v4-vllm-retrieval *</strong></td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">32768</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">2048</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">3.8B</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">~15 GB</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">Multimodal (Qwen2.5-VL-3B + retrieval LoRA)</td><td style="text-align:center;" data-mrr="0.7518"><span class="score-badge score-high">0.7518</span></td><td style="text-align:center;" data-recall="0.8780"><span class="score-badge score-high">0.8780</span></td><td style="text-align:center;" data-mrr="0">-</td><td style="text-align:center;" data-recall="0">-</td><td style="text-align:center;" data-mrr="0.8918"><span class="score-badge score-high">0.8918</span></td><td style="text-align:center;" data-recall="0.9520"><span class="score-badge score-high">0.9520</span></td><td style="text-align:center;" data-mrr="0.6185"><span class="score-badge score-medium">0.6185</span></td><td style="text-align:center;" data-recall="0.7012"><span class="score-badge score-high">0.7012</span></td><td style="text-align:center;" data-mrr="0.9455"><span class="score-badge score-high">0.9455</span></td><td style="text-align:center;" data-recall="0.9681"><span class="score-badge score-high">0.9681</span></td><td style="text-align:center;background:rgba(102,126,234,0.15);" data-avg-mrr="0.8019"><span class="score-badge score-high"><strong>0.8019</strong></span></td><td style="text-align:center;background:rgba(102,126,234,0.15);" data-avg-recall="0.8748"><span class="score-badge score-high"><strong>0.8748</strong></span></td></tr><tr data-model="jinaai/jina-embeddings-v5-text-nano *"><td style="text-align:center;font-weight:700;" class="rank-cell">14</td><td style="text-align:left;font-weight:600;"><strong>jinaai/jina-embeddings-v5-text-nano *</strong></td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">8192</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">768</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">239M</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">~0.9 GB</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">BERT-based (EuroBERT)</td><td style="text-align:center;" data-mrr="0.7638"><span class="score-badge score-high">0.7638</span></td><td style="text-align:center;" data-recall="0.9122"><span class="score-badge score-high">0.9122</span></td><td style="text-align:center;" data-mrr="0.7447"><span class="score-badge score-high">0.7447</span></td><td style="text-align:center;" data-recall="0.8380"><span class="score-badge score-high">0.8380</span></td><td style="text-align:center;" data-mrr="0.9208"><span class="score-badge score-high">0.9208</span></td><td style="text-align:center;" data-recall="0.9720"><span class="score-badge score-high">0.9720</span></td><td style="text-align:center;" data-mrr="0.5895"><span class="score-badge score-medium">0.5895</span></td><td style="text-align:center;" data-recall="0.6912"><span class="score-badge score-medium">0.6912</span></td><td style="text-align:center;" data-mrr="0.9716"><span class="score-badge score-high">0.9716</span></td><td style="text-align:center;" data-recall="0.9880"><span class="score-badge score-high">0.9880</span></td><td style="text-align:center;background:rgba(102,126,234,0.15);" data-avg-mrr="0.7981"><span class="score-badge score-high"><strong>0.7981</strong></span></td><td style="text-align:center;background:rgba(102,126,234,0.15);" data-avg-recall="0.8803"><span class="score-badge score-high"><strong>0.8803</strong></span></td></tr><tr data-model="PartAI/Tooka-SBERT-V2-Large *"><td style="text-align:center;font-weight:700;" class="rank-cell">15</td><td style="text-align:left;font-weight:600;"><strong>PartAI/Tooka-SBERT-V2-Large *</strong></td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">512</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">1024</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">353M</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">~1.4 GB</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">BERT-based (Sentence Transformer)</td><td style="text-align:center;" data-mrr="0.7774"><span class="score-badge score-high">0.7774</span></td><td style="text-align:center;" data-recall="0.9073"><span class="score-badge score-high">0.9073</span></td><td style="text-align:center;" data-mrr="0.7411"><span class="score-badge score-high">0.7411</span></td><td style="text-align:center;" data-recall="0.8440"><span class="score-badge score-high">0.8440</span></td><td style="text-align:center;" data-mrr="0.8718"><span class="score-badge score-high">0.8718</span></td><td style="text-align:center;" data-recall="0.9480"><span class="score-badge score-high">0.9480</span></td><td style="text-align:center;" data-mrr="0.6435"><span class="score-badge score-medium">0.6435</span></td><td style="text-align:center;" data-recall="0.7410"><span class="score-badge score-high">0.7410</span></td><td style="text-align:center;" data-mrr="0.9514"><span class="score-badge score-high">0.9514</span></td><td style="text-align:center;" data-recall="0.9861"><span class="score-badge score-high">0.9861</span></td><td style="text-align:center;background:rgba(102,126,234,0.15);" data-avg-mrr="0.7971"><span class="score-badge score-high"><strong>0.7971</strong></span></td><td style="text-align:center;background:rgba(102,126,234,0.15);" data-avg-recall="0.8853"><span class="score-badge score-high"><strong>0.8853</strong></span></td></tr><tr data-model="Octen/Octen-Embedding-0.6B"><td style="text-align:center;font-weight:700;" class="rank-cell">16</td><td style="text-align:left;font-weight:600;"><strong>Octen/Octen-Embedding-0.6B</strong></td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">32768</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">1024</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">0.6B</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">~2.4 GB</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">Decoder-only (Qwen3-based)</td><td style="text-align:center;" data-mrr="0.7725"><span class="score-badge score-high">0.7725</span></td><td style="text-align:center;" data-recall="0.9073"><span class="score-badge score-high">0.9073</span></td><td style="text-align:center;" data-mrr="0.7071"><span class="score-badge score-high">0.7071</span></td><td style="text-align:center;" data-recall="0.8040"><span class="score-badge score-high">0.8040</span></td><td style="text-align:center;" data-mrr="0.8719"><span class="score-badge score-high">0.8719</span></td><td style="text-align:center;" data-recall="0.9520"><span class="score-badge score-high">0.9520</span></td><td style="text-align:center;" data-mrr="0.5512"><span class="score-badge score-medium">0.5512</span></td><td style="text-align:center;" data-recall="0.6434"><span class="score-badge score-medium">0.6434</span></td><td style="text-align:center;" data-mrr="0.9546"><span class="score-badge score-high">0.9546</span></td><td style="text-align:center;" data-recall="0.9821"><span class="score-badge score-high">0.9821</span></td><td style="text-align:center;background:rgba(102,126,234,0.15);" data-avg-mrr="0.7715"><span class="score-badge score-high"><strong>0.7715</strong></span></td><td style="text-align:center;background:rgba(102,126,234,0.15);" data-avg-recall="0.8578"><span class="score-badge score-high"><strong>0.8578</strong></span></td></tr><tr data-model="PartAI/Tooka-SBERT-V2-Small *"><td style="text-align:center;font-weight:700;" class="rank-cell">17</td><td style="text-align:left;font-weight:600;"><strong>PartAI/Tooka-SBERT-V2-Small *</strong></td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">512</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">768</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">123M</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">~0.5 GB</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">BERT-based (Sentence Transformer)</td><td style="text-align:center;" data-mrr="0.7714"><span class="score-badge score-high">0.7714</span></td><td style="text-align:center;" data-recall="0.8732"><span class="score-badge score-high">0.8732</span></td><td style="text-align:center;" data-mrr="0.6868"><span class="score-badge score-medium">0.6868</span></td><td style="text-align:center;" data-recall="0.8000"><span class="score-badge score-high">0.8000</span></td><td style="text-align:center;" data-mrr="0.8719"><span class="score-badge score-high">0.8719</span></td><td style="text-align:center;" data-recall="0.9380"><span class="score-badge score-high">0.9380</span></td><td style="text-align:center;" data-mrr="0.5409"><span class="score-badge score-medium">0.5409</span></td><td style="text-align:center;" data-recall="0.6275"><span class="score-badge score-medium">0.6275</span></td><td style="text-align:center;" data-mrr="0.9573"><span class="score-badge score-high">0.9573</span></td><td style="text-align:center;" data-recall="0.9861"><span class="score-badge score-high">0.9861</span></td><td style="text-align:center;background:rgba(102,126,234,0.15);" data-avg-mrr="0.7657"><span class="score-badge score-high"><strong>0.7657</strong></span></td><td style="text-align:center;background:rgba(102,126,234,0.15);" data-avg-recall="0.8449"><span class="score-badge score-high"><strong>0.8449</strong></span></td></tr><tr data-model="Qwen/Qwen3-Embedding-0.6B"><td style="text-align:center;font-weight:700;" class="rank-cell">18</td><td style="text-align:left;font-weight:600;"><strong>Qwen/Qwen3-Embedding-0.6B</strong></td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">32k</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">1024</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">0.6B</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">~2.4 GB</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">Decoder-only (Qwen3)</td><td style="text-align:center;" data-mrr="0.7470"><span class="score-badge score-high">0.7470</span></td><td style="text-align:center;" data-recall="0.8780"><span class="score-badge score-high">0.8780</span></td><td style="text-align:center;" data-mrr="0.6877"><span class="score-badge score-medium">0.6877</span></td><td style="text-align:center;" data-recall="0.7900"><span class="score-badge score-high">0.7900</span></td><td style="text-align:center;" data-mrr="0.8870"><span class="score-badge score-high">0.8870</span></td><td style="text-align:center;" data-recall="0.9560"><span class="score-badge score-high">0.9560</span></td><td style="text-align:center;" data-mrr="0.5518"><span class="score-badge score-medium">0.5518</span></td><td style="text-align:center;" data-recall="0.6414"><span class="score-badge score-medium">0.6414</span></td><td style="text-align:center;" data-mrr="0.9499"><span class="score-badge score-high">0.9499</span></td><td style="text-align:center;" data-recall="0.9801"><span class="score-badge score-high">0.9801</span></td><td style="text-align:center;background:rgba(102,126,234,0.15);" data-avg-mrr="0.7647"><span class="score-badge score-high"><strong>0.7647</strong></span></td><td style="text-align:center;background:rgba(102,126,234,0.15);" data-avg-recall="0.8491"><span class="score-badge score-high"><strong>0.8491</strong></span></td></tr><tr data-model="ibm-granite/granite-embedding-97m-multilingual-r2 *"><td style="text-align:center;font-weight:700;" class="rank-cell">19</td><td style="text-align:left;font-weight:600;"><strong>ibm-granite/granite-embedding-97m-multilingual-r2 *</strong></td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">512</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">768</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">97M</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">~0.4 GB</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">BERT-based</td><td style="text-align:center;" data-mrr="0.6654"><span class="score-badge score-medium">0.6654</span></td><td style="text-align:center;" data-recall="0.8390"><span class="score-badge score-high">0.8390</span></td><td style="text-align:center;" data-mrr="0.7277"><span class="score-badge score-high">0.7277</span></td><td style="text-align:center;" data-recall="0.8400"><span class="score-badge score-high">0.8400</span></td><td style="text-align:center;" data-mrr="0.8716"><span class="score-badge score-high">0.8716</span></td><td style="text-align:center;" data-recall="0.9460"><span class="score-badge score-high">0.9460</span></td><td style="text-align:center;" data-mrr="0.5093"><span class="score-badge score-medium">0.5093</span></td><td style="text-align:center;" data-recall="0.5837"><span class="score-badge score-medium">0.5837</span></td><td style="text-align:center;" data-mrr="0.9319"><span class="score-badge score-high">0.9319</span></td><td style="text-align:center;" data-recall="0.9681"><span class="score-badge score-high">0.9681</span></td><td style="text-align:center;background:rgba(102,126,234,0.15);" data-avg-mrr="0.7412"><span class="score-badge score-high"><strong>0.7412</strong></span></td><td style="text-align:center;background:rgba(102,126,234,0.15);" data-avg-recall="0.8354"><span class="score-badge score-high"><strong>0.8354</strong></span></td></tr><tr data-model="PartAI/Tooka-SBERT *"><td style="text-align:center;font-weight:700;" class="rank-cell">20</td><td style="text-align:left;font-weight:600;"><strong>PartAI/Tooka-SBERT *</strong></td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">512</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">1024</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">353M</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">~1.4 GB</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">BERT-based (Sentence Transformer)</td><td style="text-align:center;" data-mrr="0.6900"><span class="score-badge score-medium">0.6900</span></td><td style="text-align:center;" data-recall="0.8341"><span class="score-badge score-high">0.8341</span></td><td style="text-align:center;" data-mrr="0.6819"><span class="score-badge score-medium">0.6819</span></td><td style="text-align:center;" data-recall="0.7820"><span class="score-badge score-high">0.7820</span></td><td style="text-align:center;" data-mrr="0.7805"><span class="score-badge score-high">0.7805</span></td><td style="text-align:center;" data-recall="0.8900"><span class="score-badge score-high">0.8900</span></td><td style="text-align:center;" data-mrr="0.5302"><span class="score-badge score-medium">0.5302</span></td><td style="text-align:center;" data-recall="0.6355"><span class="score-badge score-medium">0.6355</span></td><td style="text-align:center;" data-mrr="0.9495"><span class="score-badge score-high">0.9495</span></td><td style="text-align:center;" data-recall="0.9761"><span class="score-badge score-high">0.9761</span></td><td style="text-align:center;background:rgba(102,126,234,0.15);" data-avg-mrr="0.7264"><span class="score-badge score-high"><strong>0.7264</strong></span></td><td style="text-align:center;background:rgba(102,126,234,0.15);" data-avg-recall="0.8235"><span class="score-badge score-high"><strong>0.8235</strong></span></td></tr><tr data-model="geevec-ai/geevec-embeddings-1.0-lite *"><td style="text-align:center;font-weight:700;" class="rank-cell">21</td><td style="text-align:left;font-weight:600;"><strong>geevec-ai/geevec-embeddings-1.0-lite *</strong></td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">32768</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">4096</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">349M</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">~1.4 GB</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">Decoder-only (Qwen3-style PseudoMoE)</td><td style="text-align:center;" data-mrr="0.6665"><span class="score-badge score-medium">0.6665</span></td><td style="text-align:center;" data-recall="0.7854"><span class="score-badge score-high">0.7854</span></td><td style="text-align:center;" data-mrr="0.6117"><span class="score-badge score-medium">0.6117</span></td><td style="text-align:center;" data-recall="0.7060"><span class="score-badge score-high">0.7060</span></td><td style="text-align:center;" data-mrr="0.8640"><span class="score-badge score-high">0.8640</span></td><td style="text-align:center;" data-recall="0.9400"><span class="score-badge score-high">0.9400</span></td><td style="text-align:center;" data-mrr="0.4233"><span class="score-badge score-medium">0.4233</span></td><td style="text-align:center;" data-recall="0.4940"><span class="score-badge score-medium">0.4940</span></td><td style="text-align:center;" data-mrr="0.9586"><span class="score-badge score-high">0.9586</span></td><td style="text-align:center;" data-recall="0.9801"><span class="score-badge score-high">0.9801</span></td><td style="text-align:center;background:rgba(102,126,234,0.15);" data-avg-mrr="0.7048"><span class="score-badge score-high"><strong>0.7048</strong></span></td><td style="text-align:center;background:rgba(102,126,234,0.15);" data-avg-recall="0.7811"><span class="score-badge score-high"><strong>0.7811</strong></span></td></tr><tr data-model="sentence-transformers/LaBSE *"><td style="text-align:center;font-weight:700;" class="rank-cell">22</td><td style="text-align:left;font-weight:600;"><strong>sentence-transformers/LaBSE *</strong></td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">256</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">768</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">471M</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">~1.8 GB</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">BERT-based (Sentence Transformer)</td><td style="text-align:center;" data-mrr="0.4937"><span class="score-badge score-medium">0.4937</span></td><td style="text-align:center;" data-recall="0.6488"><span class="score-badge score-medium">0.6488</span></td><td style="text-align:center;" data-mrr="0.5074"><span class="score-badge score-medium">0.5074</span></td><td style="text-align:center;" data-recall="0.6160"><span class="score-badge score-medium">0.6160</span></td><td style="text-align:center;" data-mrr="0.5753"><span class="score-badge score-medium">0.5753</span></td><td style="text-align:center;" data-recall="0.6660"><span class="score-badge score-medium">0.6660</span></td><td style="text-align:center;" data-mrr="0.3158"><span class="score-badge score-low">0.3158</span></td><td style="text-align:center;" data-recall="0.3984"><span class="score-badge score-low">0.3984</span></td><td style="text-align:center;" data-mrr="0.7549"><span class="score-badge score-high">0.7549</span></td><td style="text-align:center;" data-recall="0.8725"><span class="score-badge score-high">0.8725</span></td><td style="text-align:center;background:rgba(102,126,234,0.15);" data-avg-mrr="0.5294"><span class="score-badge score-medium"><strong>0.5294</strong></span></td><td style="text-align:center;background:rgba(102,126,234,0.15);" data-avg-recall="0.6403"><span class="score-badge score-medium"><strong>0.6403</strong></span></td></tr><tr data-model="google/embeddinggemma-300m *"><td style="text-align:center;font-weight:700;" class="rank-cell">23</td><td style="text-align:left;font-weight:600;"><strong>google/embeddinggemma-300m *</strong></td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">8192</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">768</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">300M</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">~1.2 GB</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">Decoder-only (Gemma-based)</td><td style="text-align:center;" data-mrr="0.3440"><span class="score-badge score-low">0.3440</span></td><td style="text-align:center;" data-recall="0.4585"><span class="score-badge score-medium">0.4585</span></td><td style="text-align:center;" data-mrr="0.3714"><span class="score-badge score-low">0.3714</span></td><td style="text-align:center;" data-recall="0.4660"><span class="score-badge score-medium">0.4660</span></td><td style="text-align:center;" data-mrr="0.4248"><span class="score-badge score-medium">0.4248</span></td><td style="text-align:center;" data-recall="0.5340"><span class="score-badge score-medium">0.5340</span></td><td style="text-align:center;" data-mrr="0.1662"><span class="score-badge score-low">0.1662</span></td><td style="text-align:center;" data-recall="0.2072"><span class="score-badge score-low">0.2072</span></td><td style="text-align:center;" data-mrr="0.4668"><span class="score-badge score-medium">0.4668</span></td><td style="text-align:center;" data-recall="0.5837"><span class="score-badge score-medium">0.5837</span></td><td style="text-align:center;background:rgba(102,126,234,0.15);" data-avg-mrr="0.3546"><span class="score-badge score-low"><strong>0.3546</strong></span></td><td style="text-align:center;background:rgba(102,126,234,0.15);" data-avg-recall="0.4499"><span class="score-badge score-medium"><strong>0.4499</strong></span></td></tr><tr data-model="nomic-ai/nomic-embed-text-v1.5 *"><td style="text-align:center;font-weight:700;" class="rank-cell">24</td><td style="text-align:left;font-weight:600;"><strong>nomic-ai/nomic-embed-text-v1.5 *</strong></td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">8192</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">768</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">0.1B</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">~0.4 GB</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">BERT-based</td><td style="text-align:center;" data-mrr="0.1759"><span class="score-badge score-low">0.1759</span></td><td style="text-align:center;" data-recall="0.2439"><span class="score-badge score-low">0.2439</span></td><td style="text-align:center;" data-mrr="0.1758"><span class="score-badge score-low">0.1758</span></td><td style="text-align:center;" data-recall="0.2100"><span class="score-badge score-low">0.2100</span></td><td style="text-align:center;" data-mrr="0.1364"><span class="score-badge score-low">0.1364</span></td><td style="text-align:center;" data-recall="0.1720"><span class="score-badge score-low">0.1720</span></td><td style="text-align:center;" data-mrr="0.0476"><span class="score-badge score-low">0.0476</span></td><td style="text-align:center;" data-recall="0.0598"><span class="score-badge score-low">0.0598</span></td><td style="text-align:center;" data-mrr="0.0928"><span class="score-badge score-low">0.0928</span></td><td style="text-align:center;" data-recall="0.1175"><span class="score-badge score-low">0.1175</span></td><td style="text-align:center;background:rgba(102,126,234,0.15);" data-avg-mrr="0.1257"><span class="score-badge score-low"><strong>0.1257</strong></span></td><td style="text-align:center;background:rgba(102,126,234,0.15);" data-avg-recall="0.1606"><span class="score-badge score-low"><strong>0.1606</strong></span></td></tr><tr data-model="nomic-ai/nomic-embed-text-v1 *"><td style="text-align:center;font-weight:700;" class="rank-cell">25</td><td style="text-align:left;font-weight:600;"><strong>nomic-ai/nomic-embed-text-v1 *</strong></td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">8192</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">768</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">0.1B</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">~0.4 GB</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">BERT-based</td><td style="text-align:center;" data-mrr="0.1733"><span class="score-badge score-low">0.1733</span></td><td style="text-align:center;" data-recall="0.2341"><span class="score-badge score-low">0.2341</span></td><td style="text-align:center;" data-mrr="0.1155"><span class="score-badge score-low">0.1155</span></td><td style="text-align:center;" data-recall="0.1540"><span class="score-badge score-low">0.1540</span></td><td style="text-align:center;" data-mrr="0.1475"><span class="score-badge score-low">0.1475</span></td><td style="text-align:center;" data-recall="0.1840"><span class="score-badge score-low">0.1840</span></td><td style="text-align:center;" data-mrr="0.0323"><span class="score-badge score-low">0.0323</span></td><td style="text-align:center;" data-recall="0.0319"><span class="score-badge score-low">0.0319</span></td><td style="text-align:center;" data-mrr="0.1346"><span class="score-badge score-low">0.1346</span></td><td style="text-align:center;" data-recall="0.1733"><span class="score-badge score-low">0.1733</span></td><td style="text-align:center;background:rgba(102,126,234,0.15);" data-avg-mrr="0.1207"><span class="score-badge score-low"><strong>0.1207</strong></span></td><td style="text-align:center;background:rgba(102,126,234,0.15);" data-avg-recall="0.1555"><span class="score-badge score-low"><strong>0.1555</strong></span></td></tr><tr data-model="intfloat/e5-large-v2 *"><td style="text-align:center;font-weight:700;" class="rank-cell">26</td><td style="text-align:left;font-weight:600;"><strong>intfloat/e5-large-v2 *</strong></td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">512</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">1024</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">335M</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">~1.3 GB</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">BERT-based</td><td style="text-align:center;" data-mrr="0.1235"><span class="score-badge score-low">0.1235</span></td><td style="text-align:center;" data-recall="0.1659"><span class="score-badge score-low">0.1659</span></td><td style="text-align:center;" data-mrr="0.2033"><span class="score-badge score-low">0.2033</span></td><td style="text-align:center;" data-recall="0.2440"><span class="score-badge score-low">0.2440</span></td><td style="text-align:center;" data-mrr="0.0679"><span class="score-badge score-low">0.0679</span></td><td style="text-align:center;" data-recall="0.0920"><span class="score-badge score-low">0.0920</span></td><td style="text-align:center;" data-mrr="0.0516"><span class="score-badge score-low">0.0516</span></td><td style="text-align:center;" data-recall="0.0578"><span class="score-badge score-low">0.0578</span></td><td style="text-align:center;" data-mrr="0.0775"><span class="score-badge score-low">0.0775</span></td><td style="text-align:center;" data-recall="0.1056"><span class="score-badge score-low">0.1056</span></td><td style="text-align:center;background:rgba(102,126,234,0.15);" data-avg-mrr="0.1048"><span class="score-badge score-low"><strong>0.1048</strong></span></td><td style="text-align:center;background:rgba(102,126,234,0.15);" data-avg-recall="0.1330"><span class="score-badge score-low"><strong>0.1330</strong></span></td></tr><tr data-model="mixedbread-ai/mxbai-embed-large-v1 *"><td style="text-align:center;font-weight:700;" class="rank-cell">27</td><td style="text-align:left;font-weight:600;"><strong>mixedbread-ai/mxbai-embed-large-v1 *</strong></td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">512</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">1024</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">335M</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">~1.34 GB</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">BERT-based (Mixedbread AI)</td><td style="text-align:center;" data-mrr="0.1406"><span class="score-badge score-low">0.1406</span></td><td style="text-align:center;" data-recall="0.1902"><span class="score-badge score-low">0.1902</span></td><td style="text-align:center;" data-mrr="0.1032"><span class="score-badge score-low">0.1032</span></td><td style="text-align:center;" data-recall="0.1200"><span class="score-badge score-low">0.1200</span></td><td style="text-align:center;" data-mrr="0.1036"><span class="score-badge score-low">0.1036</span></td><td style="text-align:center;" data-recall="0.1380"><span class="score-badge score-low">0.1380</span></td><td style="text-align:center;" data-mrr="0.0399"><span class="score-badge score-low">0.0399</span></td><td style="text-align:center;" data-recall="0.0518"><span class="score-badge score-low">0.0518</span></td><td style="text-align:center;" data-mrr="0.1055"><span class="score-badge score-low">0.1055</span></td><td style="text-align:center;" data-recall="0.1315"><span class="score-badge score-low">0.1315</span></td><td style="text-align:center;background:rgba(102,126,234,0.15);" data-avg-mrr="0.0985"><span class="score-badge score-low"><strong>0.0985</strong></span></td><td style="text-align:center;background:rgba(102,126,234,0.15);" data-avg-recall="0.1263"><span class="score-badge score-low"><strong>0.1263</strong></span></td></tr><tr data-model="sentence-transformers/all-MiniLM-L12-v2 *"><td style="text-align:center;font-weight:700;" class="rank-cell">28</td><td style="text-align:left;font-weight:600;"><strong>sentence-transformers/all-MiniLM-L12-v2 *</strong></td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">256</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">384</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">33.4M</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">~120 MB</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">BERT-based</td><td style="text-align:center;" data-mrr="0.0673"><span class="score-badge score-low">0.0673</span></td><td style="text-align:center;" data-recall="0.0878"><span class="score-badge score-low">0.0878</span></td><td style="text-align:center;" data-mrr="0.0789"><span class="score-badge score-low">0.0789</span></td><td style="text-align:center;" data-recall="0.1120"><span class="score-badge score-low">0.1120</span></td><td style="text-align:center;" data-mrr="0.0535"><span class="score-badge score-low">0.0535</span></td><td style="text-align:center;" data-recall="0.0620"><span class="score-badge score-low">0.0620</span></td><td style="text-align:center;" data-mrr="0.0449"><span class="score-badge score-low">0.0449</span></td><td style="text-align:center;" data-recall="0.0498"><span class="score-badge score-low">0.0498</span></td><td style="text-align:center;" data-mrr="0.0208"><span class="score-badge score-low">0.0208</span></td><td style="text-align:center;" data-recall="0.0259"><span class="score-badge score-low">0.0259</span></td><td style="text-align:center;background:rgba(102,126,234,0.15);" data-avg-mrr="0.0531"><span class="score-badge score-low"><strong>0.0531</strong></span></td><td style="text-align:center;background:rgba(102,126,234,0.15);" data-avg-recall="0.0675"><span class="score-badge score-low"><strong>0.0675</strong></span></td></tr><tr data-model="sentence-transformers/all-MiniLM-L6-v2 *"><td style="text-align:center;font-weight:700;" class="rank-cell">29</td><td style="text-align:left;font-weight:600;"><strong>sentence-transformers/all-MiniLM-L6-v2 *</strong></td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">256</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">384</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">22.7M</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">~90 MB</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">BERT-based</td><td style="text-align:center;" data-mrr="0.0095"><span class="score-badge score-low">0.0095</span></td><td style="text-align:center;" data-recall="0.0000"><span class="score-badge score-low">0.0000</span></td><td style="text-align:center;" data-mrr="0.0641"><span class="score-badge score-low">0.0641</span></td><td style="text-align:center;" data-recall="0.0940"><span class="score-badge score-low">0.0940</span></td><td style="text-align:center;" data-mrr="0.0183"><span class="score-badge score-low">0.0183</span></td><td style="text-align:center;" data-recall="0.0260"><span class="score-badge score-low">0.0260</span></td><td style="text-align:center;" data-mrr="0.0294"><span class="score-badge score-low">0.0294</span></td><td style="text-align:center;" data-recall="0.0339"><span class="score-badge score-low">0.0339</span></td><td style="text-align:center;" data-mrr="0.0065"><span class="score-badge score-low">0.0065</span></td><td style="text-align:center;" data-recall="0.0100"><span class="score-badge score-low">0.0100</span></td><td style="text-align:center;background:rgba(102,126,234,0.15);" data-avg-mrr="0.0256"><span class="score-badge score-low"><strong>0.0256</strong></span></td><td style="text-align:center;background:rgba(102,126,234,0.15);" data-avg-recall="0.0328"><span class="score-badge score-low"><strong>0.0328</strong></span></td></tr></tbody></table></div></div>
+        <th rowspan="2" class="model-info-col" style="vertical-align:middle;text-align:center;font-size:0.75em;background:#3d4f6b;">Context Len</th><th rowspan="2" class="model-info-col" style="vertical-align:middle;text-align:center;font-size:0.75em;background:#3d4f6b;">Emb Dim</th><th rowspan="2" class="model-info-col" style="vertical-align:middle;text-align:center;font-size:0.75em;background:#3d4f6b;">Params</th><th rowspan="2" class="model-info-col" style="vertical-align:middle;text-align:center;font-size:0.75em;background:#3d4f6b;">Size</th><th rowspan="2" class="model-info-col" style="vertical-align:middle;text-align:center;font-size:0.75em;background:#3d4f6b;">Type</th><th colspan="2" style="text-align:center;background:linear-gradient(135deg,#5a67d8,#6b46c1);" onclick="sortByDataset(0)">Education <span class="sort-icon">⇅</span></th><th colspan="2" style="text-align:center;background:linear-gradient(135deg,#5a67d8,#6b46c1);" onclick="sortByDataset(1)">General <span class="sort-icon">⇅</span></th><th colspan="2" style="text-align:center;background:linear-gradient(135deg,#5a67d8,#6b46c1);" onclick="sortByDataset(2)">Legal <span class="sort-icon">⇅</span></th><th colspan="2" style="text-align:center;background:linear-gradient(135deg,#5a67d8,#6b46c1);" onclick="sortByDataset(3)">Religious <span class="sort-icon">⇅</span></th><th colspan="2" style="text-align:center;background:linear-gradient(135deg,#5a67d8,#6b46c1);" onclick="sortByDataset(4)">Scientific <span class="sort-icon">⇅</span></th><th colspan="2" style="text-align:center;background:linear-gradient(135deg,#6b46c1,#805ad5);" onclick="sortByAverage()">Avg <span class="sort-icon">⇅</span></th></tr><tr><th style="text-align:center;background:#4a5568;" onclick="sortByMetric('mrr',0)">MRR</th><th style="text-align:center;background:#4a5568;" onclick="sortByMetric('recall',0)">Recall@5</th><th style="text-align:center;background:#4a5568;" onclick="sortByMetric('mrr',1)">MRR</th><th style="text-align:center;background:#4a5568;" onclick="sortByMetric('recall',1)">Recall@5</th><th style="text-align:center;background:#4a5568;" onclick="sortByMetric('mrr',2)">MRR</th><th style="text-align:center;background:#4a5568;" onclick="sortByMetric('recall',2)">Recall@5</th><th style="text-align:center;background:#4a5568;" onclick="sortByMetric('mrr',3)">MRR</th><th style="text-align:center;background:#4a5568;" onclick="sortByMetric('recall',3)">Recall@5</th><th style="text-align:center;background:#4a5568;" onclick="sortByMetric('mrr',4)">MRR</th><th style="text-align:center;background:#4a5568;" onclick="sortByMetric('recall',4)">Recall@5</th><th style="text-align:center;background:#4a5568;" onclick="sortByMetric('avg_mrr')">MRR</th><th style="text-align:center;background:#4a5568;" onclick="sortByMetric('avg_recall')">Recall@5</th></tr></thead><tbody><tr data-model="codefuse-ai/F2LLM-v2-4B"><td style="text-align:center;font-weight:700;" class="rank-cell">🥇</td><td style="text-align:left;font-weight:600;"><strong>codefuse-ai/F2LLM-v2-4B</strong></td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">32768</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">2560</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">4.0B</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">~16 GB</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">Decoder-only (F2LLM-v2 embedding model)</td><td style="text-align:center;" data-mrr="0.8150"><span class="score-badge score-high">0.8150</span></td><td style="text-align:center;" data-recall="0.9463"><span class="score-badge score-high">0.9463</span></td><td style="text-align:center;" data-mrr="0.8693"><span class="score-badge score-high">0.8693</span></td><td style="text-align:center;" data-recall="0.9420"><span class="score-badge score-high">0.9420</span></td><td style="text-align:center;" data-mrr="0.9340"><span class="score-badge score-high">0.9340</span></td><td style="text-align:center;" data-recall="0.9800"><span class="score-badge score-high">0.9800</span></td><td style="text-align:center;" data-mrr="0.7899"><span class="score-badge score-high">0.7899</span></td><td style="text-align:center;" data-recall="0.8586"><span class="score-badge score-high">0.8586</span></td><td style="text-align:center;" data-mrr="0.9769"><span class="score-badge score-high">0.9769</span></td><td style="text-align:center;" data-recall="0.9920"><span class="score-badge score-high">0.9920</span></td><td style="text-align:center;background:rgba(102,126,234,0.15);" data-avg-mrr="0.8770"><span class="score-badge score-high"><strong>0.8770</strong></span></td><td style="text-align:center;background:rgba(102,126,234,0.15);" data-avg-recall="0.9438"><span class="score-badge score-high"><strong>0.9438</strong></span></td></tr><tr data-model="Snowflake/snowflake-arctic-embed-l-v2.0 *"><td style="text-align:center;font-weight:700;" class="rank-cell">🥈</td><td style="text-align:left;font-weight:600;"><strong>Snowflake/snowflake-arctic-embed-l-v2.0 *</strong></td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">8192</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">1024</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">568M</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">~2.2 GB</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">Transformer-based</td><td style="text-align:center;" data-mrr="0.8430"><span class="score-badge score-high">0.8430</span></td><td style="text-align:center;" data-recall="0.9756"><span class="score-badge score-high">0.9756</span></td><td style="text-align:center;" data-mrr="0.8235"><span class="score-badge score-high">0.8235</span></td><td style="text-align:center;" data-recall="0.9200"><span class="score-badge score-high">0.9200</span></td><td style="text-align:center;" data-mrr="0.9715"><span class="score-badge score-high">0.9715</span></td><td style="text-align:center;" data-recall="0.9980"><span class="score-badge score-high">0.9980</span></td><td style="text-align:center;" data-mrr="0.7555"><span class="score-badge score-high">0.7555</span></td><td style="text-align:center;" data-recall="0.8307"><span class="score-badge score-high">0.8307</span></td><td style="text-align:center;" data-mrr="0.9867"><span class="score-badge score-high">0.9867</span></td><td style="text-align:center;" data-recall="1.0000"><span class="score-badge score-high">1.0000</span></td><td style="text-align:center;background:rgba(102,126,234,0.15);" data-avg-mrr="0.8760"><span class="score-badge score-high"><strong>0.8760</strong></span></td><td style="text-align:center;background:rgba(102,126,234,0.15);" data-avg-recall="0.9449"><span class="score-badge score-high"><strong>0.9449</strong></span></td></tr><tr data-model="Qwen/Qwen3-Embedding-8B"><td style="text-align:center;font-weight:700;" class="rank-cell">🥉</td><td style="text-align:left;font-weight:600;"><strong>Qwen/Qwen3-Embedding-8B</strong></td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">32k</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">4096</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">8.0B</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">~32 GB</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">Decoder-only (Qwen3)</td><td style="text-align:center;" data-mrr="0.8642"><span class="score-badge score-high">0.8642</span></td><td style="text-align:center;" data-recall="0.9756"><span class="score-badge score-high">0.9756</span></td><td style="text-align:center;" data-mrr="0.8028"><span class="score-badge score-high">0.8028</span></td><td style="text-align:center;" data-recall="0.8760"><span class="score-badge score-high">0.8760</span></td><td style="text-align:center;" data-mrr="0.9516"><span class="score-badge score-high">0.9516</span></td><td style="text-align:center;" data-recall="0.9920"><span class="score-badge score-high">0.9920</span></td><td style="text-align:center;" data-mrr="0.7876"><span class="score-badge score-high">0.7876</span></td><td style="text-align:center;" data-recall="0.8586"><span class="score-badge score-high">0.8586</span></td><td style="text-align:center;" data-mrr="0.9721"><span class="score-badge score-high">0.9721</span></td><td style="text-align:center;" data-recall="0.9861"><span class="score-badge score-high">0.9861</span></td><td style="text-align:center;background:rgba(102,126,234,0.15);" data-avg-mrr="0.8756"><span class="score-badge score-high"><strong>0.8756</strong></span></td><td style="text-align:center;background:rgba(102,126,234,0.15);" data-avg-recall="0.9376"><span class="score-badge score-high"><strong>0.9376</strong></span></td></tr><tr data-model="Octen/Octen-Embedding-8B"><td style="text-align:center;font-weight:700;" class="rank-cell">4</td><td style="text-align:left;font-weight:600;"><strong>Octen/Octen-Embedding-8B</strong></td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">32768</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">4096</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">7.6B</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">~30 GB</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">Decoder-only (Qwen3-based)</td><td style="text-align:center;" data-mrr="0.8545"><span class="score-badge score-high">0.8545</span></td><td style="text-align:center;" data-recall="0.9756"><span class="score-badge score-high">0.9756</span></td><td style="text-align:center;" data-mrr="0.8066"><span class="score-badge score-high">0.8066</span></td><td style="text-align:center;" data-recall="0.8920"><span class="score-badge score-high">0.8920</span></td><td style="text-align:center;" data-mrr="0.9298"><span class="score-badge score-high">0.9298</span></td><td style="text-align:center;" data-recall="0.9720"><span class="score-badge score-high">0.9720</span></td><td style="text-align:center;" data-mrr="0.7786"><span class="score-badge score-high">0.7786</span></td><td style="text-align:center;" data-recall="0.8486"><span class="score-badge score-high">0.8486</span></td><td style="text-align:center;" data-mrr="0.9875"><span class="score-badge score-high">0.9875</span></td><td style="text-align:center;" data-recall="0.9980"><span class="score-badge score-high">0.9980</span></td><td style="text-align:center;background:rgba(102,126,234,0.15);" data-avg-mrr="0.8714"><span class="score-badge score-high"><strong>0.8714</strong></span></td><td style="text-align:center;background:rgba(102,126,234,0.15);" data-avg-recall="0.9372"><span class="score-badge score-high"><strong>0.9372</strong></span></td></tr><tr data-model="BAAI/bge-m3"><td style="text-align:center;font-weight:700;" class="rank-cell">5</td><td style="text-align:left;font-weight:600;"><strong>BAAI/bge-m3</strong></td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">8192</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">1024</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">568M</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">~2.3 GB</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">BERT-based</td><td style="text-align:center;" data-mrr="0.8056"><span class="score-badge score-high">0.8056</span></td><td style="text-align:center;" data-recall="0.9220"><span class="score-badge score-high">0.9220</span></td><td style="text-align:center;" data-mrr="0.8027"><span class="score-badge score-high">0.8027</span></td><td style="text-align:center;" data-recall="0.8740"><span class="score-badge score-high">0.8740</span></td><td style="text-align:center;" data-mrr="0.9766"><span class="score-badge score-high">0.9766</span></td><td style="text-align:center;" data-recall="0.9940"><span class="score-badge score-high">0.9940</span></td><td style="text-align:center;" data-mrr="0.7584"><span class="score-badge score-high">0.7584</span></td><td style="text-align:center;" data-recall="0.8287"><span class="score-badge score-high">0.8287</span></td><td style="text-align:center;" data-mrr="0.9813"><span class="score-badge score-high">0.9813</span></td><td style="text-align:center;" data-recall="0.9960"><span class="score-badge score-high">0.9960</span></td><td style="text-align:center;background:rgba(102,126,234,0.15);" data-avg-mrr="0.8649"><span class="score-badge score-high"><strong>0.8649</strong></span></td><td style="text-align:center;background:rgba(102,126,234,0.15);" data-avg-recall="0.9229"><span class="score-badge score-high"><strong>0.9229</strong></span></td></tr><tr data-model="Qwen/Qwen3-Embedding-4B"><td style="text-align:center;font-weight:700;" class="rank-cell">6</td><td style="text-align:left;font-weight:600;"><strong>Qwen/Qwen3-Embedding-4B</strong></td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">32k</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">2560</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">4.0B</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">~16 GB</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">Decoder-only (Qwen3)</td><td style="text-align:center;" data-mrr="0.8404"><span class="score-badge score-high">0.8404</span></td><td style="text-align:center;" data-recall="0.9659"><span class="score-badge score-high">0.9659</span></td><td style="text-align:center;" data-mrr="0.7854"><span class="score-badge score-high">0.7854</span></td><td style="text-align:center;" data-recall="0.8560"><span class="score-badge score-high">0.8560</span></td><td style="text-align:center;" data-mrr="0.9640"><span class="score-badge score-high">0.9640</span></td><td style="text-align:center;" data-recall="0.9860"><span class="score-badge score-high">0.9860</span></td><td style="text-align:center;" data-mrr="0.7260"><span class="score-badge score-medium">0.7260</span></td><td style="text-align:center;" data-recall="0.8088"><span class="score-badge score-high">0.8088</span></td><td style="text-align:center;" data-mrr="0.9725"><span class="score-badge score-high">0.9725</span></td><td style="text-align:center;" data-recall="0.9841"><span class="score-badge score-high">0.9841</span></td><td style="text-align:center;background:rgba(102,126,234,0.15);" data-avg-mrr="0.8577"><span class="score-badge score-high"><strong>0.8577</strong></span></td><td style="text-align:center;background:rgba(102,126,234,0.15);" data-avg-recall="0.9201"><span class="score-badge score-high"><strong>0.9201</strong></span></td></tr><tr data-model="Octen/Octen-Embedding-4B"><td style="text-align:center;font-weight:700;" class="rank-cell">7</td><td style="text-align:left;font-weight:600;"><strong>Octen/Octen-Embedding-4B</strong></td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">32768</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">2560</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">4.0B</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">~16 GB</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">Decoder-only (Qwen3-based)</td><td style="text-align:center;" data-mrr="0.8510"><span class="score-badge score-high">0.8510</span></td><td style="text-align:center;" data-recall="0.9610"><span class="score-badge score-high">0.9610</span></td><td style="text-align:center;" data-mrr="0.7917"><span class="score-badge score-high">0.7917</span></td><td style="text-align:center;" data-recall="0.8840"><span class="score-badge score-high">0.8840</span></td><td style="text-align:center;" data-mrr="0.9375"><span class="score-badge score-high">0.9375</span></td><td style="text-align:center;" data-recall="0.9820"><span class="score-badge score-high">0.9820</span></td><td style="text-align:center;" data-mrr="0.7230"><span class="score-badge score-medium">0.7230</span></td><td style="text-align:center;" data-recall="0.8068"><span class="score-badge score-high">0.8068</span></td><td style="text-align:center;" data-mrr="0.9838"><span class="score-badge score-high">0.9838</span></td><td style="text-align:center;" data-recall="0.9900"><span class="score-badge score-high">0.9900</span></td><td style="text-align:center;background:rgba(102,126,234,0.15);" data-avg-mrr="0.8574"><span class="score-badge score-high"><strong>0.8574</strong></span></td><td style="text-align:center;background:rgba(102,126,234,0.15);" data-avg-recall="0.9248"><span class="score-badge score-high"><strong>0.9248</strong></span></td></tr><tr data-model="bflhc/MoD-Embedding"><td style="text-align:center;font-weight:700;" class="rank-cell">8</td><td style="text-align:left;font-weight:600;"><strong>bflhc/MoD-Embedding</strong></td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">32768</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">2560</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">4.0B</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">~16 GB</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">Decoder-only (Qwen3-Embedding-4B + LoRA)</td><td style="text-align:center;" data-mrr="0.8365"><span class="score-badge score-high">0.8365</span></td><td style="text-align:center;" data-recall="0.9707"><span class="score-badge score-high">0.9707</span></td><td style="text-align:center;" data-mrr="0.7947"><span class="score-badge score-high">0.7947</span></td><td style="text-align:center;" data-recall="0.8800"><span class="score-badge score-high">0.8800</span></td><td style="text-align:center;" data-mrr="0.9405"><span class="score-badge score-high">0.9405</span></td><td style="text-align:center;" data-recall="0.9800"><span class="score-badge score-high">0.9800</span></td><td style="text-align:center;" data-mrr="0.7249"><span class="score-badge score-medium">0.7249</span></td><td style="text-align:center;" data-recall="0.8187"><span class="score-badge score-high">0.8187</span></td><td style="text-align:center;" data-mrr="0.9767"><span class="score-badge score-high">0.9767</span></td><td style="text-align:center;" data-recall="0.9900"><span class="score-badge score-high">0.9900</span></td><td style="text-align:center;background:rgba(102,126,234,0.15);" data-avg-mrr="0.8547"><span class="score-badge score-high"><strong>0.8547</strong></span></td><td style="text-align:center;background:rgba(102,126,234,0.15);" data-avg-recall="0.9279"><span class="score-badge score-high"><strong>0.9279</strong></span></td></tr><tr data-model="nvidia/llama-nemotron-embed-1b-v2 *"><td style="text-align:center;font-weight:700;" class="rank-cell">9</td><td style="text-align:left;font-weight:600;"><strong>nvidia/llama-nemotron-embed-1b-v2 *</strong></td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">8192</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">2048</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">1.2B</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">~4 GB</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">Decoder-only (Llama-based)</td><td style="text-align:center;" data-mrr="0.8693"><span class="score-badge score-high">0.8693</span></td><td style="text-align:center;" data-recall="0.9610"><span class="score-badge score-high">0.9610</span></td><td style="text-align:center;" data-mrr="0.7814"><span class="score-badge score-high">0.7814</span></td><td style="text-align:center;" data-recall="0.8720"><span class="score-badge score-high">0.8720</span></td><td style="text-align:center;" data-mrr="0.9745"><span class="score-badge score-high">0.9745</span></td><td style="text-align:center;" data-recall="0.9960"><span class="score-badge score-high">0.9960</span></td><td style="text-align:center;" data-mrr="0.6602"><span class="score-badge score-medium">0.6602</span></td><td style="text-align:center;" data-recall="0.7510"><span class="score-badge score-high">0.7510</span></td><td style="text-align:center;" data-mrr="0.9849"><span class="score-badge score-high">0.9849</span></td><td style="text-align:center;" data-recall="0.9980"><span class="score-badge score-high">0.9980</span></td><td style="text-align:center;background:rgba(102,126,234,0.15);" data-avg-mrr="0.8540"><span class="score-badge score-high"><strong>0.8540</strong></span></td><td style="text-align:center;background:rgba(102,126,234,0.15);" data-avg-recall="0.9156"><span class="score-badge score-high"><strong>0.9156</strong></span></td></tr><tr data-model="jinaai/jina-embeddings-v3 *"><td style="text-align:center;font-weight:700;" class="rank-cell">10</td><td style="text-align:left;font-weight:600;"><strong>jinaai/jina-embeddings-v3 *</strong></td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">8192</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">1024</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">570M</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">~2.0–2.4 GB</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">Transformer (BERT-style)</td><td style="text-align:center;" data-mrr="0.7321"><span class="score-badge score-medium">0.7321</span></td><td style="text-align:center;" data-recall="0.9024"><span class="score-badge score-high">0.9024</span></td><td style="text-align:center;" data-mrr="0.8044"><span class="score-badge score-high">0.8044</span></td><td style="text-align:center;" data-recall="0.8860"><span class="score-badge score-high">0.8860</span></td><td style="text-align:center;" data-mrr="0.9351"><span class="score-badge score-high">0.9351</span></td><td style="text-align:center;" data-recall="0.9900"><span class="score-badge score-high">0.9900</span></td><td style="text-align:center;" data-mrr="0.7309"><span class="score-badge score-medium">0.7309</span></td><td style="text-align:center;" data-recall="0.8167"><span class="score-badge score-high">0.8167</span></td><td style="text-align:center;" data-mrr="0.9648"><span class="score-badge score-high">0.9648</span></td><td style="text-align:center;" data-recall="0.9861"><span class="score-badge score-high">0.9861</span></td><td style="text-align:center;background:rgba(102,126,234,0.15);" data-avg-mrr="0.8334"><span class="score-badge score-high"><strong>0.8334</strong></span></td><td style="text-align:center;background:rgba(102,126,234,0.15);" data-avg-recall="0.9162"><span class="score-badge score-high"><strong>0.9162</strong></span></td></tr><tr data-model="intfloat/multilingual-e5-large-instruct *"><td style="text-align:center;font-weight:700;" class="rank-cell">11</td><td style="text-align:left;font-weight:600;"><strong>intfloat/multilingual-e5-large-instruct *</strong></td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">512</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">1024</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">560M</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">~2.2 GB</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">BERT-based (with instruction tuning)</td><td style="text-align:center;" data-mrr="0.7644"><span class="score-badge score-high">0.7644</span></td><td style="text-align:center;" data-recall="0.9122"><span class="score-badge score-high">0.9122</span></td><td style="text-align:center;" data-mrr="0.7687"><span class="score-badge score-high">0.7687</span></td><td style="text-align:center;" data-recall="0.8560"><span class="score-badge score-high">0.8560</span></td><td style="text-align:center;" data-mrr="0.9498"><span class="score-badge score-high">0.9498</span></td><td style="text-align:center;" data-recall="0.9840"><span class="score-badge score-high">0.9840</span></td><td style="text-align:center;" data-mrr="0.6598"><span class="score-badge score-medium">0.6598</span></td><td style="text-align:center;" data-recall="0.7390"><span class="score-badge score-medium">0.7390</span></td><td style="text-align:center;" data-mrr="0.9787"><span class="score-badge score-high">0.9787</span></td><td style="text-align:center;" data-recall="0.9940"><span class="score-badge score-high">0.9940</span></td><td style="text-align:center;background:rgba(102,126,234,0.15);" data-avg-mrr="0.8243"><span class="score-badge score-high"><strong>0.8243</strong></span></td><td style="text-align:center;background:rgba(102,126,234,0.15);" data-avg-recall="0.8971"><span class="score-badge score-high"><strong>0.8971</strong></span></td></tr><tr data-model="jinaai/jina-embeddings-v5-text-small *"><td style="text-align:center;font-weight:700;" class="rank-cell">12</td><td style="text-align:left;font-weight:600;"><strong>jinaai/jina-embeddings-v5-text-small *</strong></td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">32768</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">1024</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">677M</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">~2.7 GB</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">Decoder-only (Qwen3-based)</td><td style="text-align:center;" data-mrr="0.8128"><span class="score-badge score-high">0.8128</span></td><td style="text-align:center;" data-recall="0.9317"><span class="score-badge score-high">0.9317</span></td><td style="text-align:center;" data-mrr="0.7461"><span class="score-badge score-medium">0.7461</span></td><td style="text-align:center;" data-recall="0.8400"><span class="score-badge score-high">0.8400</span></td><td style="text-align:center;" data-mrr="0.9137"><span class="score-badge score-high">0.9137</span></td><td style="text-align:center;" data-recall="0.9800"><span class="score-badge score-high">0.9800</span></td><td style="text-align:center;" data-mrr="0.6333"><span class="score-badge score-medium">0.6333</span></td><td style="text-align:center;" data-recall="0.7112"><span class="score-badge score-medium">0.7112</span></td><td style="text-align:center;" data-mrr="0.9722"><span class="score-badge score-high">0.9722</span></td><td style="text-align:center;" data-recall="0.9900"><span class="score-badge score-high">0.9900</span></td><td style="text-align:center;background:rgba(102,126,234,0.15);" data-avg-mrr="0.8156"><span class="score-badge score-high"><strong>0.8156</strong></span></td><td style="text-align:center;background:rgba(102,126,234,0.15);" data-avg-recall="0.8906"><span class="score-badge score-high"><strong>0.8906</strong></span></td></tr><tr data-model="microsoft/harrier-oss-v1-0.6b *"><td style="text-align:center;font-weight:700;" class="rank-cell">13</td><td style="text-align:left;font-weight:600;"><strong>microsoft/harrier-oss-v1-0.6b *</strong></td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">32768</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">1024</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">0.6B</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">~2.4 GB</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">Decoder-only (Harrier-based)</td><td style="text-align:center;" data-mrr="0.8210"><span class="score-badge score-high">0.8210</span></td><td style="text-align:center;" data-recall="0.9463"><span class="score-badge score-high">0.9463</span></td><td style="text-align:center;" data-mrr="0.7300"><span class="score-badge score-medium">0.7300</span></td><td style="text-align:center;" data-recall="0.8240"><span class="score-badge score-high">0.8240</span></td><td style="text-align:center;" data-mrr="0.9291"><span class="score-badge score-high">0.9291</span></td><td style="text-align:center;" data-recall="0.9700"><span class="score-badge score-high">0.9700</span></td><td style="text-align:center;" data-mrr="0.6187"><span class="score-badge score-medium">0.6187</span></td><td style="text-align:center;" data-recall="0.6992"><span class="score-badge score-medium">0.6992</span></td><td style="text-align:center;" data-mrr="0.9699"><span class="score-badge score-high">0.9699</span></td><td style="text-align:center;" data-recall="0.9920"><span class="score-badge score-high">0.9920</span></td><td style="text-align:center;background:rgba(102,126,234,0.15);" data-avg-mrr="0.8138"><span class="score-badge score-high"><strong>0.8138</strong></span></td><td style="text-align:center;background:rgba(102,126,234,0.15);" data-avg-recall="0.8863"><span class="score-badge score-high"><strong>0.8863</strong></span></td></tr><tr data-model="ibm-granite/granite-embedding-311m-multilingual-r2 *"><td style="text-align:center;font-weight:700;" class="rank-cell">14</td><td style="text-align:left;font-weight:600;"><strong>ibm-granite/granite-embedding-311m-multilingual-r2 *</strong></td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">512</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">768</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">311M</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">~1.2 GB</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">BERT-based</td><td style="text-align:center;" data-mrr="0.7504"><span class="score-badge score-high">0.7504</span></td><td style="text-align:center;" data-recall="0.9024"><span class="score-badge score-high">0.9024</span></td><td style="text-align:center;" data-mrr="0.7799"><span class="score-badge score-high">0.7799</span></td><td style="text-align:center;" data-recall="0.8700"><span class="score-badge score-high">0.8700</span></td><td style="text-align:center;" data-mrr="0.9195"><span class="score-badge score-high">0.9195</span></td><td style="text-align:center;" data-recall="0.9720"><span class="score-badge score-high">0.9720</span></td><td style="text-align:center;" data-mrr="0.6289"><span class="score-badge score-medium">0.6289</span></td><td style="text-align:center;" data-recall="0.7092"><span class="score-badge score-medium">0.7092</span></td><td style="text-align:center;" data-mrr="0.9673"><span class="score-badge score-high">0.9673</span></td><td style="text-align:center;" data-recall="0.9920"><span class="score-badge score-high">0.9920</span></td><td style="text-align:center;background:rgba(102,126,234,0.15);" data-avg-mrr="0.8092"><span class="score-badge score-high"><strong>0.8092</strong></span></td><td style="text-align:center;background:rgba(102,126,234,0.15);" data-avg-recall="0.8891"><span class="score-badge score-high"><strong>0.8891</strong></span></td></tr><tr data-model="jinaai/jina-embeddings-v5-text-nano *"><td style="text-align:center;font-weight:700;" class="rank-cell">15</td><td style="text-align:left;font-weight:600;"><strong>jinaai/jina-embeddings-v5-text-nano *</strong></td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">8192</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">768</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">239M</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">~0.9 GB</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">BERT-based (EuroBERT)</td><td style="text-align:center;" data-mrr="0.7638"><span class="score-badge score-high">0.7638</span></td><td style="text-align:center;" data-recall="0.9122"><span class="score-badge score-high">0.9122</span></td><td style="text-align:center;" data-mrr="0.7447"><span class="score-badge score-medium">0.7447</span></td><td style="text-align:center;" data-recall="0.8380"><span class="score-badge score-high">0.8380</span></td><td style="text-align:center;" data-mrr="0.9208"><span class="score-badge score-high">0.9208</span></td><td style="text-align:center;" data-recall="0.9720"><span class="score-badge score-high">0.9720</span></td><td style="text-align:center;" data-mrr="0.5895"><span class="score-badge score-medium">0.5895</span></td><td style="text-align:center;" data-recall="0.6912"><span class="score-badge score-medium">0.6912</span></td><td style="text-align:center;" data-mrr="0.9716"><span class="score-badge score-high">0.9716</span></td><td style="text-align:center;" data-recall="0.9880"><span class="score-badge score-high">0.9880</span></td><td style="text-align:center;background:rgba(102,126,234,0.15);" data-avg-mrr="0.7981"><span class="score-badge score-high"><strong>0.7981</strong></span></td><td style="text-align:center;background:rgba(102,126,234,0.15);" data-avg-recall="0.8803"><span class="score-badge score-high"><strong>0.8803</strong></span></td></tr><tr data-model="PartAI/Tooka-SBERT-V2-Large *"><td style="text-align:center;font-weight:700;" class="rank-cell">16</td><td style="text-align:left;font-weight:600;"><strong>PartAI/Tooka-SBERT-V2-Large *</strong></td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">512</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">1024</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">353M</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">~1.4 GB</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">BERT-based (Sentence Transformer)</td><td style="text-align:center;" data-mrr="0.7774"><span class="score-badge score-high">0.7774</span></td><td style="text-align:center;" data-recall="0.9073"><span class="score-badge score-high">0.9073</span></td><td style="text-align:center;" data-mrr="0.7411"><span class="score-badge score-medium">0.7411</span></td><td style="text-align:center;" data-recall="0.8440"><span class="score-badge score-high">0.8440</span></td><td style="text-align:center;" data-mrr="0.8718"><span class="score-badge score-high">0.8718</span></td><td style="text-align:center;" data-recall="0.9480"><span class="score-badge score-high">0.9480</span></td><td style="text-align:center;" data-mrr="0.6435"><span class="score-badge score-medium">0.6435</span></td><td style="text-align:center;" data-recall="0.7410"><span class="score-badge score-medium">0.7410</span></td><td style="text-align:center;" data-mrr="0.9514"><span class="score-badge score-high">0.9514</span></td><td style="text-align:center;" data-recall="0.9861"><span class="score-badge score-high">0.9861</span></td><td style="text-align:center;background:rgba(102,126,234,0.15);" data-avg-mrr="0.7971"><span class="score-badge score-high"><strong>0.7971</strong></span></td><td style="text-align:center;background:rgba(102,126,234,0.15);" data-avg-recall="0.8853"><span class="score-badge score-high"><strong>0.8853</strong></span></td></tr><tr data-model="jinaai/jina-embeddings-v4-vllm-retrieval *"><td style="text-align:center;font-weight:700;" class="rank-cell">17</td><td style="text-align:left;font-weight:600;"><strong>jinaai/jina-embeddings-v4-vllm-retrieval *</strong></td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">32768</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">2048</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">3.8B</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">~15 GB</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">Multimodal (Qwen2.5-VL-3B + retrieval LoRA)</td><td style="text-align:center;" data-mrr="0.7518"><span class="score-badge score-high">0.7518</span></td><td style="text-align:center;" data-recall="0.8780"><span class="score-badge score-high">0.8780</span></td><td style="text-align:center;" data-mrr="0.7193"><span class="score-badge score-medium">0.7193</span></td><td style="text-align:center;" data-recall="0.8200"><span class="score-badge score-high">0.8200</span></td><td style="text-align:center;" data-mrr="0.8918"><span class="score-badge score-high">0.8918</span></td><td style="text-align:center;" data-recall="0.9520"><span class="score-badge score-high">0.9520</span></td><td style="text-align:center;" data-mrr="0.6185"><span class="score-badge score-medium">0.6185</span></td><td style="text-align:center;" data-recall="0.7012"><span class="score-badge score-medium">0.7012</span></td><td style="text-align:center;" data-mrr="0.9455"><span class="score-badge score-high">0.9455</span></td><td style="text-align:center;" data-recall="0.9681"><span class="score-badge score-high">0.9681</span></td><td style="text-align:center;background:rgba(102,126,234,0.15);" data-avg-mrr="0.7854"><span class="score-badge score-high"><strong>0.7854</strong></span></td><td style="text-align:center;background:rgba(102,126,234,0.15);" data-avg-recall="0.8639"><span class="score-badge score-high"><strong>0.8639</strong></span></td></tr><tr data-model="Octen/Octen-Embedding-0.6B"><td style="text-align:center;font-weight:700;" class="rank-cell">18</td><td style="text-align:left;font-weight:600;"><strong>Octen/Octen-Embedding-0.6B</strong></td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">32768</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">1024</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">0.6B</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">~2.4 GB</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">Decoder-only (Qwen3-based)</td><td style="text-align:center;" data-mrr="0.7725"><span class="score-badge score-high">0.7725</span></td><td style="text-align:center;" data-recall="0.9073"><span class="score-badge score-high">0.9073</span></td><td style="text-align:center;" data-mrr="0.7071"><span class="score-badge score-medium">0.7071</span></td><td style="text-align:center;" data-recall="0.8040"><span class="score-badge score-high">0.8040</span></td><td style="text-align:center;" data-mrr="0.8719"><span class="score-badge score-high">0.8719</span></td><td style="text-align:center;" data-recall="0.9520"><span class="score-badge score-high">0.9520</span></td><td style="text-align:center;" data-mrr="0.5512"><span class="score-badge score-medium">0.5512</span></td><td style="text-align:center;" data-recall="0.6434"><span class="score-badge score-medium">0.6434</span></td><td style="text-align:center;" data-mrr="0.9546"><span class="score-badge score-high">0.9546</span></td><td style="text-align:center;" data-recall="0.9821"><span class="score-badge score-high">0.9821</span></td><td style="text-align:center;background:rgba(102,126,234,0.15);" data-avg-mrr="0.7715"><span class="score-badge score-high"><strong>0.7715</strong></span></td><td style="text-align:center;background:rgba(102,126,234,0.15);" data-avg-recall="0.8578"><span class="score-badge score-high"><strong>0.8578</strong></span></td></tr><tr data-model="PartAI/Tooka-SBERT-V2-Small *"><td style="text-align:center;font-weight:700;" class="rank-cell">19</td><td style="text-align:left;font-weight:600;"><strong>PartAI/Tooka-SBERT-V2-Small *</strong></td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">512</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">768</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">123M</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">~0.5 GB</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">BERT-based (Sentence Transformer)</td><td style="text-align:center;" data-mrr="0.7714"><span class="score-badge score-high">0.7714</span></td><td style="text-align:center;" data-recall="0.8732"><span class="score-badge score-high">0.8732</span></td><td style="text-align:center;" data-mrr="0.6868"><span class="score-badge score-medium">0.6868</span></td><td style="text-align:center;" data-recall="0.8000"><span class="score-badge score-high">0.8000</span></td><td style="text-align:center;" data-mrr="0.8719"><span class="score-badge score-high">0.8719</span></td><td style="text-align:center;" data-recall="0.9380"><span class="score-badge score-high">0.9380</span></td><td style="text-align:center;" data-mrr="0.5409"><span class="score-badge score-medium">0.5409</span></td><td style="text-align:center;" data-recall="0.6275"><span class="score-badge score-medium">0.6275</span></td><td style="text-align:center;" data-mrr="0.9573"><span class="score-badge score-high">0.9573</span></td><td style="text-align:center;" data-recall="0.9861"><span class="score-badge score-high">0.9861</span></td><td style="text-align:center;background:rgba(102,126,234,0.15);" data-avg-mrr="0.7657"><span class="score-badge score-high"><strong>0.7657</strong></span></td><td style="text-align:center;background:rgba(102,126,234,0.15);" data-avg-recall="0.8449"><span class="score-badge score-high"><strong>0.8449</strong></span></td></tr><tr data-model="Qwen/Qwen3-Embedding-0.6B"><td style="text-align:center;font-weight:700;" class="rank-cell">20</td><td style="text-align:left;font-weight:600;"><strong>Qwen/Qwen3-Embedding-0.6B</strong></td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">32k</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">1024</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">0.6B</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">~2.4 GB</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">Decoder-only (Qwen3)</td><td style="text-align:center;" data-mrr="0.7470"><span class="score-badge score-medium">0.7470</span></td><td style="text-align:center;" data-recall="0.8780"><span class="score-badge score-high">0.8780</span></td><td style="text-align:center;" data-mrr="0.6877"><span class="score-badge score-medium">0.6877</span></td><td style="text-align:center;" data-recall="0.7900"><span class="score-badge score-high">0.7900</span></td><td style="text-align:center;" data-mrr="0.8870"><span class="score-badge score-high">0.8870</span></td><td style="text-align:center;" data-recall="0.9560"><span class="score-badge score-high">0.9560</span></td><td style="text-align:center;" data-mrr="0.5518"><span class="score-badge score-medium">0.5518</span></td><td style="text-align:center;" data-recall="0.6414"><span class="score-badge score-medium">0.6414</span></td><td style="text-align:center;" data-mrr="0.9499"><span class="score-badge score-high">0.9499</span></td><td style="text-align:center;" data-recall="0.9801"><span class="score-badge score-high">0.9801</span></td><td style="text-align:center;background:rgba(102,126,234,0.15);" data-avg-mrr="0.7647"><span class="score-badge score-high"><strong>0.7647</strong></span></td><td style="text-align:center;background:rgba(102,126,234,0.15);" data-avg-recall="0.8491"><span class="score-badge score-high"><strong>0.8491</strong></span></td></tr><tr data-model="ibm-granite/granite-embedding-97m-multilingual-r2 *"><td style="text-align:center;font-weight:700;" class="rank-cell">21</td><td style="text-align:left;font-weight:600;"><strong>ibm-granite/granite-embedding-97m-multilingual-r2 *</strong></td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">512</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">768</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">97M</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">~0.4 GB</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">BERT-based</td><td style="text-align:center;" data-mrr="0.6654"><span class="score-badge score-medium">0.6654</span></td><td style="text-align:center;" data-recall="0.8390"><span class="score-badge score-high">0.8390</span></td><td style="text-align:center;" data-mrr="0.7277"><span class="score-badge score-medium">0.7277</span></td><td style="text-align:center;" data-recall="0.8400"><span class="score-badge score-high">0.8400</span></td><td style="text-align:center;" data-mrr="0.8716"><span class="score-badge score-high">0.8716</span></td><td style="text-align:center;" data-recall="0.9460"><span class="score-badge score-high">0.9460</span></td><td style="text-align:center;" data-mrr="0.5093"><span class="score-badge score-medium">0.5093</span></td><td style="text-align:center;" data-recall="0.5837"><span class="score-badge score-medium">0.5837</span></td><td style="text-align:center;" data-mrr="0.9319"><span class="score-badge score-high">0.9319</span></td><td style="text-align:center;" data-recall="0.9681"><span class="score-badge score-high">0.9681</span></td><td style="text-align:center;background:rgba(102,126,234,0.15);" data-avg-mrr="0.7412"><span class="score-badge score-medium"><strong>0.7412</strong></span></td><td style="text-align:center;background:rgba(102,126,234,0.15);" data-avg-recall="0.8354"><span class="score-badge score-high"><strong>0.8354</strong></span></td></tr><tr data-model="PartAI/Tooka-SBERT *"><td style="text-align:center;font-weight:700;" class="rank-cell">22</td><td style="text-align:left;font-weight:600;"><strong>PartAI/Tooka-SBERT *</strong></td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">512</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">1024</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">353M</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">~1.4 GB</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">BERT-based (Sentence Transformer)</td><td style="text-align:center;" data-mrr="0.6900"><span class="score-badge score-medium">0.6900</span></td><td style="text-align:center;" data-recall="0.8341"><span class="score-badge score-high">0.8341</span></td><td style="text-align:center;" data-mrr="0.6819"><span class="score-badge score-medium">0.6819</span></td><td style="text-align:center;" data-recall="0.7820"><span class="score-badge score-high">0.7820</span></td><td style="text-align:center;" data-mrr="0.7805"><span class="score-badge score-high">0.7805</span></td><td style="text-align:center;" data-recall="0.8900"><span class="score-badge score-high">0.8900</span></td><td style="text-align:center;" data-mrr="0.5302"><span class="score-badge score-medium">0.5302</span></td><td style="text-align:center;" data-recall="0.6355"><span class="score-badge score-medium">0.6355</span></td><td style="text-align:center;" data-mrr="0.9495"><span class="score-badge score-high">0.9495</span></td><td style="text-align:center;" data-recall="0.9761"><span class="score-badge score-high">0.9761</span></td><td style="text-align:center;background:rgba(102,126,234,0.15);" data-avg-mrr="0.7264"><span class="score-badge score-medium"><strong>0.7264</strong></span></td><td style="text-align:center;background:rgba(102,126,234,0.15);" data-avg-recall="0.8235"><span class="score-badge score-high"><strong>0.8235</strong></span></td></tr><tr data-model="geevec-ai/geevec-embeddings-1.0-lite *"><td style="text-align:center;font-weight:700;" class="rank-cell">23</td><td style="text-align:left;font-weight:600;"><strong>geevec-ai/geevec-embeddings-1.0-lite *</strong></td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">32768</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">4096</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">349M</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">~1.4 GB</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">Decoder-only (Qwen3-style PseudoMoE)</td><td style="text-align:center;" data-mrr="0.6665"><span class="score-badge score-medium">0.6665</span></td><td style="text-align:center;" data-recall="0.7854"><span class="score-badge score-high">0.7854</span></td><td style="text-align:center;" data-mrr="0.6117"><span class="score-badge score-medium">0.6117</span></td><td style="text-align:center;" data-recall="0.7060"><span class="score-badge score-medium">0.7060</span></td><td style="text-align:center;" data-mrr="0.8640"><span class="score-badge score-high">0.8640</span></td><td style="text-align:center;" data-recall="0.9400"><span class="score-badge score-high">0.9400</span></td><td style="text-align:center;" data-mrr="0.4233"><span class="score-badge score-low">0.4233</span></td><td style="text-align:center;" data-recall="0.4940"><span class="score-badge score-low">0.4940</span></td><td style="text-align:center;" data-mrr="0.9586"><span class="score-badge score-high">0.9586</span></td><td style="text-align:center;" data-recall="0.9801"><span class="score-badge score-high">0.9801</span></td><td style="text-align:center;background:rgba(102,126,234,0.15);" data-avg-mrr="0.7048"><span class="score-badge score-medium"><strong>0.7048</strong></span></td><td style="text-align:center;background:rgba(102,126,234,0.15);" data-avg-recall="0.7811"><span class="score-badge score-high"><strong>0.7811</strong></span></td></tr><tr data-model="sentence-transformers/LaBSE *"><td style="text-align:center;font-weight:700;" class="rank-cell">24</td><td style="text-align:left;font-weight:600;"><strong>sentence-transformers/LaBSE *</strong></td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">256</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">768</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">471M</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">~1.8 GB</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">BERT-based (Sentence Transformer)</td><td style="text-align:center;" data-mrr="0.4937"><span class="score-badge score-low">0.4937</span></td><td style="text-align:center;" data-recall="0.6488"><span class="score-badge score-medium">0.6488</span></td><td style="text-align:center;" data-mrr="0.5074"><span class="score-badge score-medium">0.5074</span></td><td style="text-align:center;" data-recall="0.6160"><span class="score-badge score-medium">0.6160</span></td><td style="text-align:center;" data-mrr="0.5753"><span class="score-badge score-medium">0.5753</span></td><td style="text-align:center;" data-recall="0.6660"><span class="score-badge score-medium">0.6660</span></td><td style="text-align:center;" data-mrr="0.3158"><span class="score-badge score-low">0.3158</span></td><td style="text-align:center;" data-recall="0.3984"><span class="score-badge score-low">0.3984</span></td><td style="text-align:center;" data-mrr="0.7549"><span class="score-badge score-high">0.7549</span></td><td style="text-align:center;" data-recall="0.8725"><span class="score-badge score-high">0.8725</span></td><td style="text-align:center;background:rgba(102,126,234,0.15);" data-avg-mrr="0.5294"><span class="score-badge score-medium"><strong>0.5294</strong></span></td><td style="text-align:center;background:rgba(102,126,234,0.15);" data-avg-recall="0.6403"><span class="score-badge score-medium"><strong>0.6403</strong></span></td></tr><tr data-model="google/embeddinggemma-300m *"><td style="text-align:center;font-weight:700;" class="rank-cell">25</td><td style="text-align:left;font-weight:600;"><strong>google/embeddinggemma-300m *</strong></td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">8192</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">768</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">300M</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">~1.2 GB</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">Decoder-only (Gemma-based)</td><td style="text-align:center;" data-mrr="0.3440"><span class="score-badge score-low">0.3440</span></td><td style="text-align:center;" data-recall="0.4585"><span class="score-badge score-low">0.4585</span></td><td style="text-align:center;" data-mrr="0.3714"><span class="score-badge score-low">0.3714</span></td><td style="text-align:center;" data-recall="0.4660"><span class="score-badge score-low">0.4660</span></td><td style="text-align:center;" data-mrr="0.4248"><span class="score-badge score-low">0.4248</span></td><td style="text-align:center;" data-recall="0.5340"><span class="score-badge score-medium">0.5340</span></td><td style="text-align:center;" data-mrr="0.1662"><span class="score-badge score-low">0.1662</span></td><td style="text-align:center;" data-recall="0.2072"><span class="score-badge score-low">0.2072</span></td><td style="text-align:center;" data-mrr="0.4668"><span class="score-badge score-low">0.4668</span></td><td style="text-align:center;" data-recall="0.5837"><span class="score-badge score-medium">0.5837</span></td><td style="text-align:center;background:rgba(102,126,234,0.15);" data-avg-mrr="0.3546"><span class="score-badge score-low"><strong>0.3546</strong></span></td><td style="text-align:center;background:rgba(102,126,234,0.15);" data-avg-recall="0.4499"><span class="score-badge score-low"><strong>0.4499</strong></span></td></tr><tr data-model="nomic-ai/nomic-embed-text-v1.5 *"><td style="text-align:center;font-weight:700;" class="rank-cell">26</td><td style="text-align:left;font-weight:600;"><strong>nomic-ai/nomic-embed-text-v1.5 *</strong></td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">8192</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">768</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">0.1B</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">~0.4 GB</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">BERT-based</td><td style="text-align:center;" data-mrr="0.1759"><span class="score-badge score-low">0.1759</span></td><td style="text-align:center;" data-recall="0.2439"><span class="score-badge score-low">0.2439</span></td><td style="text-align:center;" data-mrr="0.1758"><span class="score-badge score-low">0.1758</span></td><td style="text-align:center;" data-recall="0.2100"><span class="score-badge score-low">0.2100</span></td><td style="text-align:center;" data-mrr="0.1364"><span class="score-badge score-low">0.1364</span></td><td style="text-align:center;" data-recall="0.1720"><span class="score-badge score-low">0.1720</span></td><td style="text-align:center;" data-mrr="0.0476"><span class="score-badge score-low">0.0476</span></td><td style="text-align:center;" data-recall="0.0598"><span class="score-badge score-low">0.0598</span></td><td style="text-align:center;" data-mrr="0.0928"><span class="score-badge score-low">0.0928</span></td><td style="text-align:center;" data-recall="0.1175"><span class="score-badge score-low">0.1175</span></td><td style="text-align:center;background:rgba(102,126,234,0.15);" data-avg-mrr="0.1257"><span class="score-badge score-low"><strong>0.1257</strong></span></td><td style="text-align:center;background:rgba(102,126,234,0.15);" data-avg-recall="0.1606"><span class="score-badge score-low"><strong>0.1606</strong></span></td></tr><tr data-model="nomic-ai/nomic-embed-text-v1 *"><td style="text-align:center;font-weight:700;" class="rank-cell">27</td><td style="text-align:left;font-weight:600;"><strong>nomic-ai/nomic-embed-text-v1 *</strong></td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">8192</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">768</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">0.1B</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">~0.4 GB</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">BERT-based</td><td style="text-align:center;" data-mrr="0.1733"><span class="score-badge score-low">0.1733</span></td><td style="text-align:center;" data-recall="0.2341"><span class="score-badge score-low">0.2341</span></td><td style="text-align:center;" data-mrr="0.1155"><span class="score-badge score-low">0.1155</span></td><td style="text-align:center;" data-recall="0.1540"><span class="score-badge score-low">0.1540</span></td><td style="text-align:center;" data-mrr="0.1475"><span class="score-badge score-low">0.1475</span></td><td style="text-align:center;" data-recall="0.1840"><span class="score-badge score-low">0.1840</span></td><td style="text-align:center;" data-mrr="0.0323"><span class="score-badge score-low">0.0323</span></td><td style="text-align:center;" data-recall="0.0319"><span class="score-badge score-low">0.0319</span></td><td style="text-align:center;" data-mrr="0.1346"><span class="score-badge score-low">0.1346</span></td><td style="text-align:center;" data-recall="0.1733"><span class="score-badge score-low">0.1733</span></td><td style="text-align:center;background:rgba(102,126,234,0.15);" data-avg-mrr="0.1207"><span class="score-badge score-low"><strong>0.1207</strong></span></td><td style="text-align:center;background:rgba(102,126,234,0.15);" data-avg-recall="0.1555"><span class="score-badge score-low"><strong>0.1555</strong></span></td></tr><tr data-model="intfloat/e5-large-v2 *"><td style="text-align:center;font-weight:700;" class="rank-cell">28</td><td style="text-align:left;font-weight:600;"><strong>intfloat/e5-large-v2 *</strong></td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">512</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">1024</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">335M</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">~1.3 GB</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">BERT-based</td><td style="text-align:center;" data-mrr="0.1235"><span class="score-badge score-low">0.1235</span></td><td style="text-align:center;" data-recall="0.1659"><span class="score-badge score-low">0.1659</span></td><td style="text-align:center;" data-mrr="0.2033"><span class="score-badge score-low">0.2033</span></td><td style="text-align:center;" data-recall="0.2440"><span class="score-badge score-low">0.2440</span></td><td style="text-align:center;" data-mrr="0.0679"><span class="score-badge score-low">0.0679</span></td><td style="text-align:center;" data-recall="0.0920"><span class="score-badge score-low">0.0920</span></td><td style="text-align:center;" data-mrr="0.0516"><span class="score-badge score-low">0.0516</span></td><td style="text-align:center;" data-recall="0.0578"><span class="score-badge score-low">0.0578</span></td><td style="text-align:center;" data-mrr="0.0775"><span class="score-badge score-low">0.0775</span></td><td style="text-align:center;" data-recall="0.1056"><span class="score-badge score-low">0.1056</span></td><td style="text-align:center;background:rgba(102,126,234,0.15);" data-avg-mrr="0.1048"><span class="score-badge score-low"><strong>0.1048</strong></span></td><td style="text-align:center;background:rgba(102,126,234,0.15);" data-avg-recall="0.1330"><span class="score-badge score-low"><strong>0.1330</strong></span></td></tr><tr data-model="mixedbread-ai/mxbai-embed-large-v1 *"><td style="text-align:center;font-weight:700;" class="rank-cell">29</td><td style="text-align:left;font-weight:600;"><strong>mixedbread-ai/mxbai-embed-large-v1 *</strong></td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">512</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">1024</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">335M</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">~1.34 GB</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">BERT-based (Mixedbread AI)</td><td style="text-align:center;" data-mrr="0.1406"><span class="score-badge score-low">0.1406</span></td><td style="text-align:center;" data-recall="0.1902"><span class="score-badge score-low">0.1902</span></td><td style="text-align:center;" data-mrr="0.1032"><span class="score-badge score-low">0.1032</span></td><td style="text-align:center;" data-recall="0.1200"><span class="score-badge score-low">0.1200</span></td><td style="text-align:center;" data-mrr="0.1036"><span class="score-badge score-low">0.1036</span></td><td style="text-align:center;" data-recall="0.1380"><span class="score-badge score-low">0.1380</span></td><td style="text-align:center;" data-mrr="0.0399"><span class="score-badge score-low">0.0399</span></td><td style="text-align:center;" data-recall="0.0518"><span class="score-badge score-low">0.0518</span></td><td style="text-align:center;" data-mrr="0.1055"><span class="score-badge score-low">0.1055</span></td><td style="text-align:center;" data-recall="0.1315"><span class="score-badge score-low">0.1315</span></td><td style="text-align:center;background:rgba(102,126,234,0.15);" data-avg-mrr="0.0985"><span class="score-badge score-low"><strong>0.0985</strong></span></td><td style="text-align:center;background:rgba(102,126,234,0.15);" data-avg-recall="0.1263"><span class="score-badge score-low"><strong>0.1263</strong></span></td></tr><tr data-model="sentence-transformers/all-MiniLM-L12-v2 *"><td style="text-align:center;font-weight:700;" class="rank-cell">30</td><td style="text-align:left;font-weight:600;"><strong>sentence-transformers/all-MiniLM-L12-v2 *</strong></td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">256</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">384</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">33.4M</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">~120 MB</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">BERT-based</td><td style="text-align:center;" data-mrr="0.0673"><span class="score-badge score-low">0.0673</span></td><td style="text-align:center;" data-recall="0.0878"><span class="score-badge score-low">0.0878</span></td><td style="text-align:center;" data-mrr="0.0789"><span class="score-badge score-low">0.0789</span></td><td style="text-align:center;" data-recall="0.1120"><span class="score-badge score-low">0.1120</span></td><td style="text-align:center;" data-mrr="0.0535"><span class="score-badge score-low">0.0535</span></td><td style="text-align:center;" data-recall="0.0620"><span class="score-badge score-low">0.0620</span></td><td style="text-align:center;" data-mrr="0.0449"><span class="score-badge score-low">0.0449</span></td><td style="text-align:center;" data-recall="0.0498"><span class="score-badge score-low">0.0498</span></td><td style="text-align:center;" data-mrr="0.0208"><span class="score-badge score-low">0.0208</span></td><td style="text-align:center;" data-recall="0.0259"><span class="score-badge score-low">0.0259</span></td><td style="text-align:center;background:rgba(102,126,234,0.15);" data-avg-mrr="0.0531"><span class="score-badge score-low"><strong>0.0531</strong></span></td><td style="text-align:center;background:rgba(102,126,234,0.15);" data-avg-recall="0.0675"><span class="score-badge score-low"><strong>0.0675</strong></span></td></tr><tr data-model="sentence-transformers/all-MiniLM-L6-v2 *"><td style="text-align:center;font-weight:700;" class="rank-cell">31</td><td style="text-align:left;font-weight:600;"><strong>sentence-transformers/all-MiniLM-L6-v2 *</strong></td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">256</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">384</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">22.7M</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">~90 MB</td><td class="model-info-col" style="text-align:center;font-size:0.8em;color:#94a3b8;">BERT-based</td><td style="text-align:center;" data-mrr="0.0095"><span class="score-badge score-low">0.0095</span></td><td style="text-align:center;" data-recall="0.0000"><span class="score-badge score-low">0.0000</span></td><td style="text-align:center;" data-mrr="0.0641"><span class="score-badge score-low">0.0641</span></td><td style="text-align:center;" data-recall="0.0940"><span class="score-badge score-low">0.0940</span></td><td style="text-align:center;" data-mrr="0.0183"><span class="score-badge score-low">0.0183</span></td><td style="text-align:center;" data-recall="0.0260"><span class="score-badge score-low">0.0260</span></td><td style="text-align:center;" data-mrr="0.0294"><span class="score-badge score-low">0.0294</span></td><td style="text-align:center;" data-recall="0.0339"><span class="score-badge score-low">0.0339</span></td><td style="text-align:center;" data-mrr="0.0065"><span class="score-badge score-low">0.0065</span></td><td style="text-align:center;" data-recall="0.0100"><span class="score-badge score-low">0.0100</span></td><td style="text-align:center;background:rgba(102,126,234,0.15);" data-avg-mrr="0.0256"><span class="score-badge score-low"><strong>0.0256</strong></span></td><td style="text-align:center;background:rgba(102,126,234,0.15);" data-avg-recall="0.0328"><span class="score-badge score-low"><strong>0.0328</strong></span></td></tr></tbody></table></div></div>
 
 <script>
-const MODELS=["BAAI/bge-m3", "Octen/Octen-Embedding-0.6B", "Octen/Octen-Embedding-4B", "PartAI/Tooka-SBERT *", "PartAI/Tooka-SBERT-V2-Large *", "PartAI/Tooka-SBERT-V2-Small *", "Qwen/Qwen3-Embedding-0.6B", "Qwen/Qwen3-Embedding-4B", "Snowflake/snowflake-arctic-embed-l-v2.0 *", "bflhc/MoD-Embedding", "codefuse-ai/F2LLM-v2-4B", "geevec-ai/geevec-embeddings-1.0-lite *", "google/embeddinggemma-300m *", "ibm-granite/granite-embedding-311m-multilingual-r2 *", "ibm-granite/granite-embedding-97m-multilingual-r2 *", "intfloat/e5-large-v2 *", "intfloat/multilingual-e5-large-instruct *", "jinaai/jina-embeddings-v3 *", "jinaai/jina-embeddings-v4-vllm-retrieval *", "jinaai/jina-embeddings-v5-text-nano *", "jinaai/jina-embeddings-v5-text-small *", "microsoft/harrier-oss-v1-0.6b *", "mixedbread-ai/mxbai-embed-large-v1 *", "nomic-ai/nomic-embed-text-v1 *", "nomic-ai/nomic-embed-text-v1.5 *", "nvidia/llama-nemotron-embed-1b-v2 *", "sentence-transformers/LaBSE *", "sentence-transformers/all-MiniLM-L12-v2 *", "sentence-transformers/all-MiniLM-L6-v2 *"],DATASETS=["Education", "General", "Legal", "Religious", "Scientific"];
-const MRR_DATA={"BAAI/bge-m3": {"Education": 0.8056169034217815, "General": 0.8027085484585654, "Legal": 0.9765984848484849, "Religious": 0.7583844931722903, "Scientific": 0.9813081009296148}, "Octen/Octen-Embedding-0.6B": {"Education": 0.7724994790320846, "General": 0.7071149164311511, "Legal": 0.8719096286170627, "Religious": 0.5512422630429842, "Scientific": 0.9546408383559778}, "Octen/Octen-Embedding-4B": {"Education": 0.8509729608574281, "General": 0.7917004804695896, "Legal": 0.9375018697833604, "Religious": 0.7230007760270486, "Scientific": 0.9838416895189804}, "PartAI/Tooka-SBERT *": {"Education": 0.6899960870865064, "General": 0.6819081204594979, "Legal": 0.7805422353432414, "Religious": 0.5302043784722223, "Scientific": 0.9494621476121786}, "PartAI/Tooka-SBERT-V2-Large *": {"Education": 0.7774206377213105, "General": 0.7410936880759581, "Legal": 0.8718408096747617, "Religious": 0.643544593798765, "Scientific": 0.9514121345558751}, "PartAI/Tooka-SBERT-V2-Small *": {"Education": 0.771385408221153, "General": 0.6867911981864011, "Legal": 0.8718887357499672, "Religious": 0.5408867158452203, "Scientific": 0.9573073506838445}, "Qwen/Qwen3-Embedding-0.6B": {"Education": 0.7469525878199583, "General": 0.6876941681403586, "Legal": 0.8869875308210391, "Religious": 0.5517815069588766, "Scientific": 0.9499393695061025}, "Qwen/Qwen3-Embedding-4B": {"Education": 0.8404492895233768, "General": 0.7853971286466274, "Legal": 0.963957287157287, "Religious": 0.7260078178934363, "Scientific": 0.9725294053393421}, "Snowflake/snowflake-arctic-embed-l-v2.0 *": {"Education": 0.842983862591239, "General": 0.8234644544198769, "Legal": 0.9714999999999999, "Religious": 0.7554954774990302, "Scientific": 0.9867197875166003}, "bflhc/MoD-Embedding": {"Education": 0.836519116809344, "General": 0.7947493969555721, "Legal": 0.9405440179997104, "Religious": 0.7249145850545808, "Scientific": 0.9766857893102913}, "codefuse-ai/F2LLM-v2-4B": {"Education": 0.8150350524740768, "General": 0.8692766304603462, "Legal": 0.9339728819339751, "Religious": 0.7898725948249361, "Scientific": 0.9769130548513018}, "geevec-ai/geevec-embeddings-1.0-lite *": {"Education": 0.6665279264503521, "General": 0.6116537245244064, "Legal": 0.8639870280016136, "Religious": 0.42327650694005686, "Scientific": 0.9586229321957832}, "google/embeddinggemma-300m *": {"Education": 0.3439977163239781, "General": 0.3714403209571468, "Legal": 0.424768704397482, "Religious": 0.1661887548816384, "Scientific": 0.46684459285857516}, "ibm-granite/granite-embedding-311m-multilingual-r2 *": {"Education": 0.7503731926080347, "General": 0.7798746817771881, "Legal": 0.9194572659936999, "Religious": 0.6289143393681224, "Scientific": 0.9672832479605389}, "ibm-granite/granite-embedding-97m-multilingual-r2 *": {"Education": 0.6654027795922403, "General": 0.7276691185139802, "Legal": 0.8716223669455828, "Religious": 0.5093119900402573, "Scientific": 0.9318547837197376}, "intfloat/e5-large-v2 *": {"Education": 0.12354729904864084, "General": 0.2032500146686691, "Legal": 0.06794082548957502, "Religious": 0.05158017259572677, "Scientific": 0.0774645320865943}, "intfloat/multilingual-e5-large-instruct *": {"Education": 0.7644403736720432, "General": 0.7686564780381786, "Legal": 0.9498151515151516, "Religious": 0.659785954918176, "Scientific": 0.9786781445645987}, "jinaai/jina-embeddings-v3 *": {"Education": 0.7321272181244656, "General": 0.8043596386147862, "Legal": 0.9350597883597882, "Religious": 0.7308782198343893, "Scientific": 0.9647959748308353}, "jinaai/jina-embeddings-v4-vllm-retrieval *": {"Education": 0.7518193368258324, "General": null, "Legal": 0.891800233138509, "Religious": 0.6184905073256123, "Scientific": 0.945485809749176}, "jinaai/jina-embeddings-v5-text-nano *": {"Education": 0.7637675874777022, "General": 0.7446925096508076, "Legal": 0.920836851192578, "Religious": 0.589526968086716, "Scientific": 0.9715901615416558}, "jinaai/jina-embeddings-v5-text-small *": {"Education": 0.8127521870097195, "General": 0.7460740186511176, "Legal": 0.9136995725904797, "Religious": 0.6332967278031888, "Scientific": 0.9722356107814275}, "microsoft/harrier-oss-v1-0.6b *": {"Education": 0.8210035265532787, "General": 0.7300212227608561, "Legal": 0.9291202729044835, "Religious": 0.6187052459277221, "Scientific": 0.9699241495556236}, "mixedbread-ai/mxbai-embed-large-v1 *": {"Education": 0.14056688482544247, "General": 0.10324545336837117, "Legal": 0.10356432758041942, "Religious": 0.039854012440511156, "Scientific": 0.10545252799910732}, "nomic-ai/nomic-embed-text-v1 *": {"Education": 0.1733111206541835, "General": 0.11551857853078205, "Legal": 0.14750100555250564, "Religious": 0.03231315167810946, "Scientific": 0.1346415657802734}, "nomic-ai/nomic-embed-text-v1.5 *": {"Education": 0.17586058346845873, "General": 0.1758354345454899, "Legal": 0.1364248874270954, "Religious": 0.04757970446610652, "Scientific": 0.09280071280932657}, "nvidia/llama-nemotron-embed-1b-v2 *": {"Education": 0.8693094179874005, "General": 0.7813833978557855, "Legal": 0.9744523809523808, "Religious": 0.6601509259195927, "Scientific": 0.9849127300322518}, "sentence-transformers/LaBSE *": {"Education": 0.49372860715424144, "General": 0.5073658077815619, "Legal": 0.575344477102608, "Religious": 0.31580415089172126, "Scientific": 0.7548560696830915}, "sentence-transformers/all-MiniLM-L12-v2 *": {"Education": 0.06726691484414031, "General": 0.07892310131624539, "Legal": 0.053511560423854396, "Religious": 0.044913580501650716, "Scientific": 0.020842542774986674}, "sentence-transformers/all-MiniLM-L6-v2 *": {"Education": 0.009465622586277407, "General": 0.06408218766296021, "Legal": 0.018270702743476086, "Religious": 0.02942663526521513, "Scientific": 0.006531567130151537}},REC_DATA={"BAAI/bge-m3": {"Education": 0.9219512195121952, "General": 0.874, "Legal": 0.994, "Religious": 0.8286852589641435, "Scientific": 0.9960159362549801}, "Octen/Octen-Embedding-0.6B": {"Education": 0.9073170731707317, "General": 0.804, "Legal": 0.952, "Religious": 0.6434262948207171, "Scientific": 0.9820717131474104}, "Octen/Octen-Embedding-4B": {"Education": 0.9609756097560975, "General": 0.884, "Legal": 0.982, "Religious": 0.8067729083665338, "Scientific": 0.9900398406374502}, "PartAI/Tooka-SBERT *": {"Education": 0.8341463414634146, "General": 0.782, "Legal": 0.89, "Religious": 0.6354581673306773, "Scientific": 0.9760956175298805}, "PartAI/Tooka-SBERT-V2-Large *": {"Education": 0.9073170731707317, "General": 0.844, "Legal": 0.948, "Religious": 0.7410358565737052, "Scientific": 0.9860557768924303}, "PartAI/Tooka-SBERT-V2-Small *": {"Education": 0.8731707317073171, "General": 0.8, "Legal": 0.938, "Religious": 0.6274900398406374, "Scientific": 0.9860557768924303}, "Qwen/Qwen3-Embedding-0.6B": {"Education": 0.8780487804878049, "General": 0.79, "Legal": 0.956, "Religious": 0.6414342629482072, "Scientific": 0.9800796812749004}, "Qwen/Qwen3-Embedding-4B": {"Education": 0.9658536585365853, "General": 0.856, "Legal": 0.986, "Religious": 0.8087649402390438, "Scientific": 0.9840637450199203}, "Snowflake/snowflake-arctic-embed-l-v2.0 *": {"Education": 0.975609756097561, "General": 0.92, "Legal": 0.998, "Religious": 0.8306772908366534, "Scientific": 1.0}, "bflhc/MoD-Embedding": {"Education": 0.9707317073170731, "General": 0.88, "Legal": 0.98, "Religious": 0.8187250996015937, "Scientific": 0.9900398406374502}, "codefuse-ai/F2LLM-v2-4B": {"Education": 0.9463414634146341, "General": 0.942, "Legal": 0.98, "Religious": 0.8585657370517928, "Scientific": 0.9920318725099602}, "geevec-ai/geevec-embeddings-1.0-lite *": {"Education": 0.7853658536585366, "General": 0.706, "Legal": 0.94, "Religious": 0.4940239043824701, "Scientific": 0.9800796812749004}, "google/embeddinggemma-300m *": {"Education": 0.4585365853658537, "General": 0.466, "Legal": 0.534, "Religious": 0.20717131474103587, "Scientific": 0.5836653386454184}, "ibm-granite/granite-embedding-311m-multilingual-r2 *": {"Education": 0.9024390243902439, "General": 0.87, "Legal": 0.972, "Religious": 0.7091633466135459, "Scientific": 0.9920318725099602}, "ibm-granite/granite-embedding-97m-multilingual-r2 *": {"Education": 0.8390243902439024, "General": 0.84, "Legal": 0.946, "Religious": 0.5836653386454184, "Scientific": 0.9681274900398407}, "intfloat/e5-large-v2 *": {"Education": 0.16585365853658537, "General": 0.244, "Legal": 0.092, "Religious": 0.05776892430278884, "Scientific": 0.10557768924302789}, "intfloat/multilingual-e5-large-instruct *": {"Education": 0.9121951219512195, "General": 0.856, "Legal": 0.984, "Religious": 0.7390438247011952, "Scientific": 0.9940239043824701}, "jinaai/jina-embeddings-v3 *": {"Education": 0.9024390243902439, "General": 0.886, "Legal": 0.99, "Religious": 0.8167330677290837, "Scientific": 0.9860557768924303}, "jinaai/jina-embeddings-v4-vllm-retrieval *": {"Education": 0.8780487804878049, "General": null, "Legal": 0.952, "Religious": 0.701195219123506, "Scientific": 0.9681274900398407}, "jinaai/jina-embeddings-v5-text-nano *": {"Education": 0.9121951219512195, "General": 0.838, "Legal": 0.972, "Religious": 0.6912350597609562, "Scientific": 0.9880478087649402}, "jinaai/jina-embeddings-v5-text-small *": {"Education": 0.9317073170731708, "General": 0.84, "Legal": 0.98, "Religious": 0.7111553784860558, "Scientific": 0.9900398406374502}, "microsoft/harrier-oss-v1-0.6b *": {"Education": 0.9463414634146341, "General": 0.824, "Legal": 0.97, "Religious": 0.6992031872509961, "Scientific": 0.9920318725099602}, "mixedbread-ai/mxbai-embed-large-v1 *": {"Education": 0.1902439024390244, "General": 0.12, "Legal": 0.138, "Religious": 0.05179282868525897, "Scientific": 0.13147410358565736}, "nomic-ai/nomic-embed-text-v1 *": {"Education": 0.23414634146341465, "General": 0.154, "Legal": 0.184, "Religious": 0.03187250996015936, "Scientific": 0.17330677290836655}, "nomic-ai/nomic-embed-text-v1.5 *": {"Education": 0.24390243902439024, "General": 0.21, "Legal": 0.172, "Religious": 0.05976095617529881, "Scientific": 0.11752988047808766}, "nvidia/llama-nemotron-embed-1b-v2 *": {"Education": 0.9609756097560975, "General": 0.872, "Legal": 0.996, "Religious": 0.750996015936255, "Scientific": 0.99800796812749}, "sentence-transformers/LaBSE *": {"Education": 0.6487804878048781, "General": 0.616, "Legal": 0.666, "Religious": 0.398406374501992, "Scientific": 0.8725099601593626}, "sentence-transformers/all-MiniLM-L12-v2 *": {"Education": 0.08780487804878048, "General": 0.112, "Legal": 0.062, "Religious": 0.049800796812749, "Scientific": 0.025896414342629483}, "sentence-transformers/all-MiniLM-L6-v2 *": {"Education": 0.0, "General": 0.094, "Legal": 0.026, "Religious": 0.03386454183266932, "Scientific": 0.0099601593625498}};
-const IS_LOCAL={"BAAI/bge-m3": false, "Octen/Octen-Embedding-0.6B": false, "Octen/Octen-Embedding-4B": false, "PartAI/Tooka-SBERT *": true, "PartAI/Tooka-SBERT-V2-Large *": true, "PartAI/Tooka-SBERT-V2-Small *": true, "Qwen/Qwen3-Embedding-0.6B": false, "Qwen/Qwen3-Embedding-4B": false, "Snowflake/snowflake-arctic-embed-l-v2.0 *": true, "bflhc/MoD-Embedding": false, "codefuse-ai/F2LLM-v2-4B": false, "geevec-ai/geevec-embeddings-1.0-lite *": true, "google/embeddinggemma-300m *": true, "ibm-granite/granite-embedding-311m-multilingual-r2 *": true, "ibm-granite/granite-embedding-97m-multilingual-r2 *": true, "intfloat/e5-large-v2 *": true, "intfloat/multilingual-e5-large-instruct *": true, "jinaai/jina-embeddings-v3 *": true, "jinaai/jina-embeddings-v4-vllm-retrieval *": true, "jinaai/jina-embeddings-v5-text-nano *": true, "jinaai/jina-embeddings-v5-text-small *": true, "microsoft/harrier-oss-v1-0.6b *": true, "mixedbread-ai/mxbai-embed-large-v1 *": true, "nomic-ai/nomic-embed-text-v1 *": true, "nomic-ai/nomic-embed-text-v1.5 *": true, "nvidia/llama-nemotron-embed-1b-v2 *": true, "sentence-transformers/LaBSE *": true, "sentence-transformers/all-MiniLM-L12-v2 *": true, "sentence-transformers/all-MiniLM-L6-v2 *": true},HF_LINKS={"BAAI/bge-m3": "https://huggingface.co/BAAI/bge-m3", "Octen/Octen-Embedding-0.6B": "https://huggingface.co/Octen/Octen-Embedding-0.6B", "Octen/Octen-Embedding-4B": "https://huggingface.co/Octen/Octen-Embedding-4B", "PartAI/Tooka-SBERT *": "https://huggingface.co/PartAI/Tooka-SBERT", "PartAI/Tooka-SBERT-V2-Large *": "https://huggingface.co/PartAI/Tooka-SBERT-V2-Large", "PartAI/Tooka-SBERT-V2-Small *": "https://huggingface.co/PartAI/Tooka-SBERT-V2-Small", "Qwen/Qwen3-Embedding-0.6B": "https://huggingface.co/Qwen/Qwen3-Embedding-0.6B", "Qwen/Qwen3-Embedding-4B": "https://huggingface.co/Qwen/Qwen3-Embedding-4B", "Snowflake/snowflake-arctic-embed-l-v2.0 *": "https://huggingface.co/Snowflake/snowflake-arctic-embed-l-v2.0", "bflhc/MoD-Embedding": "https://huggingface.co/bflhc/MoD-Embedding", "codefuse-ai/F2LLM-v2-4B": "https://huggingface.co/codefuse-ai/F2LLM-v2-4B", "geevec-ai/geevec-embeddings-1.0-lite *": "https://huggingface.co/geevec-ai/geevec-embeddings-1.0-lite", "google/embeddinggemma-300m *": "https://huggingface.co/google/embeddinggemma-300m", "ibm-granite/granite-embedding-311m-multilingual-r2 *": "https://huggingface.co/ibm-granite/granite-embedding-311m-multilingual-r2", "ibm-granite/granite-embedding-97m-multilingual-r2 *": "https://huggingface.co/ibm-granite/granite-embedding-97m-multilingual-r2", "intfloat/e5-large-v2 *": "https://huggingface.co/intfloat/e5-large-v2", "intfloat/multilingual-e5-large-instruct *": "https://huggingface.co/intfloat/multilingual-e5-large-instruct", "jinaai/jina-embeddings-v3 *": "https://huggingface.co/jinaai/jina-embeddings-v3", "jinaai/jina-embeddings-v4-vllm-retrieval *": "https://huggingface.co/jinaai/jina-embeddings-v4-vllm-retrieval", "jinaai/jina-embeddings-v5-text-nano *": "https://huggingface.co/jinaai/jina-embeddings-v5-text-nano", "jinaai/jina-embeddings-v5-text-small *": "https://huggingface.co/jinaai/jina-embeddings-v5-text-small", "microsoft/harrier-oss-v1-0.6b *": "https://huggingface.co/microsoft/harrier-oss-v1-0.6b", "mixedbread-ai/mxbai-embed-large-v1 *": "https://huggingface.co/mixedbread-ai/mxbai-embed-large-v1", "nomic-ai/nomic-embed-text-v1 *": "https://huggingface.co/nomic-ai/nomic-embed-text-v1", "nomic-ai/nomic-embed-text-v1.5 *": "https://huggingface.co/nomic-ai/nomic-embed-text-v1.5", "nvidia/llama-nemotron-embed-1b-v2 *": "https://huggingface.co/nvidia/llama-nemotron-embed-1b-v2", "sentence-transformers/LaBSE *": "https://huggingface.co/sentence-transformers/LaBSE", "sentence-transformers/all-MiniLM-L12-v2 *": "https://huggingface.co/sentence-transformers/all-MiniLM-L12-v2", "sentence-transformers/all-MiniLM-L6-v2 *": "https://huggingface.co/sentence-transformers/all-MiniLM-L6-v2"};
-const BEST_MRR={"Education": 0.8693094179874005, "General": 0.8692766304603462, "Legal": 0.9765984848484849, "Religious": 0.7898725948249361, "Scientific": 0.9867197875166003},BEST_REC={"Education": 0.975609756097561, "General": 0.942, "Legal": 0.998, "Religious": 0.8585657370517928, "Scientific": 1.0};
-const AVG_MRRS={"BAAI/bge-m3": 0.8649233061661474, "Octen/Octen-Embedding-0.6B": 0.771481425095852, "Octen/Octen-Embedding-4B": 0.8574035553312814, "PartAI/Tooka-SBERT *": 0.7264225937947293, "PartAI/Tooka-SBERT-V2-Large *": 0.7970623727653342, "PartAI/Tooka-SBERT-V2-Small *": 0.7656518817373172, "Qwen/Qwen3-Embedding-0.6B": 0.764671032649267, "Qwen/Qwen3-Embedding-4B": 0.8576681857120139, "Snowflake/snowflake-arctic-embed-l-v2.0 *": 0.8760327164053493, "bflhc/MoD-Embedding": 0.8546825812258998, "codefuse-ai/F2LLM-v2-4B": 0.8770140429089273, "geevec-ai/geevec-embeddings-1.0-lite *": 0.7048136236224425, "google/embeddinggemma-300m *": 0.35464801788376404, "ibm-granite/granite-embedding-311m-multilingual-r2 *": 0.8091805455415167, "ibm-granite/granite-embedding-97m-multilingual-r2 *": 0.7411722077623596, "intfloat/e5-large-v2 *": 0.1047565687778412, "intfloat/multilingual-e5-large-instruct *": 0.8242752205416297, "jinaai/jina-embeddings-v3 *": 0.8334441679528529, "jinaai/jina-embeddings-v4-vllm-retrieval *": 0.8018989717597823, "jinaai/jina-embeddings-v5-text-nano *": 0.7980828155898919, "jinaai/jina-embeddings-v5-text-small *": 0.8156116233671866, "microsoft/harrier-oss-v1-0.6b *": 0.8137548835403928, "mixedbread-ai/mxbai-embed-large-v1 *": 0.09853664124277031, "nomic-ai/nomic-embed-text-v1 *": 0.12065708443917081, "nomic-ai/nomic-embed-text-v1.5 *": 0.12570026454329541, "nvidia/llama-nemotron-embed-1b-v2 *": 0.8540417705494823, "sentence-transformers/LaBSE *": 0.5294198225226449, "sentence-transformers/all-MiniLM-L12-v2 *": 0.05309153997217549, "sentence-transformers/all-MiniLM-L6-v2 *": 0.025555343077616078},AVG_RECS={"BAAI/bge-m3": 0.9229304829462638, "Octen/Octen-Embedding-0.6B": 0.8577630162277717, "Octen/Octen-Embedding-4B": 0.9247576717520161, "PartAI/Tooka-SBERT *": 0.8235400252647945, "PartAI/Tooka-SBERT-V2-Large *": 0.8852817413273734, "PartAI/Tooka-SBERT-V2-Small *": 0.8449433096880771, "Qwen/Qwen3-Embedding-0.6B": 0.8491125449421825, "Qwen/Qwen3-Embedding-4B": 0.9201364687591098, "Snowflake/snowflake-arctic-embed-l-v2.0 *": 0.944857409386843, "bflhc/MoD-Embedding": 0.9278993295112233, "codefuse-ai/F2LLM-v2-4B": 0.9437878145952773, "geevec-ai/geevec-embeddings-1.0-lite *": 0.7810938878631813, "google/embeddinggemma-300m *": 0.4498746477504616, "ibm-granite/granite-embedding-311m-multilingual-r2 *": 0.8891268487027499, "ibm-granite/granite-embedding-97m-multilingual-r2 *": 0.8353634437858322, "intfloat/e5-large-v2 *": 0.13304005441648042, "intfloat/multilingual-e5-large-instruct *": 0.8970525702069768, "jinaai/jina-embeddings-v3 *": 0.9162455738023517, "jinaai/jina-embeddings-v4-vllm-retrieval *": 0.8748428724127879, "jinaai/jina-embeddings-v5-text-nano *": 0.8802955980954232, "jinaai/jina-embeddings-v5-text-small *": 0.8905805072393352, "microsoft/harrier-oss-v1-0.6b *": 0.886315304635118, "mixedbread-ai/mxbai-embed-large-v1 *": 0.12630216694198815, "nomic-ai/nomic-embed-text-v1 *": 0.15546512486638814, "nomic-ai/nomic-embed-text-v1.5 *": 0.1606386551355553, "nvidia/llama-nemotron-embed-1b-v2 *": 0.9155959187639684, "sentence-transformers/LaBSE *": 0.6403393644932466, "sentence-transformers/all-MiniLM-L12-v2 *": 0.0675004178408318, "sentence-transformers/all-MiniLM-L6-v2 *": 0.03276494023904382};
+const MODELS=["BAAI/bge-m3", "Octen/Octen-Embedding-0.6B", "Octen/Octen-Embedding-4B", "Octen/Octen-Embedding-8B", "PartAI/Tooka-SBERT *", "PartAI/Tooka-SBERT-V2-Large *", "PartAI/Tooka-SBERT-V2-Small *", "Qwen/Qwen3-Embedding-0.6B", "Qwen/Qwen3-Embedding-4B", "Qwen/Qwen3-Embedding-8B", "Snowflake/snowflake-arctic-embed-l-v2.0 *", "bflhc/MoD-Embedding", "codefuse-ai/F2LLM-v2-4B", "geevec-ai/geevec-embeddings-1.0-lite *", "google/embeddinggemma-300m *", "ibm-granite/granite-embedding-311m-multilingual-r2 *", "ibm-granite/granite-embedding-97m-multilingual-r2 *", "intfloat/e5-large-v2 *", "intfloat/multilingual-e5-large-instruct *", "jinaai/jina-embeddings-v3 *", "jinaai/jina-embeddings-v4-vllm-retrieval *", "jinaai/jina-embeddings-v5-text-nano *", "jinaai/jina-embeddings-v5-text-small *", "microsoft/harrier-oss-v1-0.6b *", "mixedbread-ai/mxbai-embed-large-v1 *", "nomic-ai/nomic-embed-text-v1 *", "nomic-ai/nomic-embed-text-v1.5 *", "nvidia/llama-nemotron-embed-1b-v2 *", "sentence-transformers/LaBSE *", "sentence-transformers/all-MiniLM-L12-v2 *", "sentence-transformers/all-MiniLM-L6-v2 *"],DATASETS=["Education", "General", "Legal", "Religious", "Scientific"];
+const MRR_DATA={"BAAI/bge-m3": {"Education": 0.8056169034217815, "General": 0.8027085484585654, "Legal": 0.9765984848484849, "Religious": 0.7583844931722903, "Scientific": 0.9813081009296148}, "Octen/Octen-Embedding-0.6B": {"Education": 0.7724994790320846, "General": 0.7071149164311511, "Legal": 0.8719096286170627, "Religious": 0.5512422630429842, "Scientific": 0.9546408383559778}, "Octen/Octen-Embedding-4B": {"Education": 0.8509729608574281, "General": 0.7917004804695896, "Legal": 0.9375018697833604, "Religious": 0.7230007760270486, "Scientific": 0.9838416895189804}, "Octen/Octen-Embedding-8B": {"Education": 0.8545257452574527, "General": 0.8065709184133578, "Legal": 0.9298234341372419, "Religious": 0.7786450293390469, "Scientific": 0.9874833997343957}, "PartAI/Tooka-SBERT *": {"Education": 0.6899960870865064, "General": 0.6819081204594979, "Legal": 0.7805422353432414, "Religious": 0.5302043784722223, "Scientific": 0.9494621476121786}, "PartAI/Tooka-SBERT-V2-Large *": {"Education": 0.7774206377213105, "General": 0.7410936880759581, "Legal": 0.8718408096747617, "Religious": 0.643544593798765, "Scientific": 0.9514121345558751}, "PartAI/Tooka-SBERT-V2-Small *": {"Education": 0.771385408221153, "General": 0.6867911981864011, "Legal": 0.8718887357499672, "Religious": 0.5408867158452203, "Scientific": 0.9573073506838445}, "Qwen/Qwen3-Embedding-0.6B": {"Education": 0.7469525878199583, "General": 0.6876941681403586, "Legal": 0.8869875308210391, "Religious": 0.5517815069588766, "Scientific": 0.9499393695061025}, "Qwen/Qwen3-Embedding-4B": {"Education": 0.8404492895233768, "General": 0.7853971286466274, "Legal": 0.963957287157287, "Religious": 0.7260078178934363, "Scientific": 0.9725294053393421}, "Qwen/Qwen3-Embedding-8B": {"Education": 0.8641814124023595, "General": 0.8028218849997026, "Legal": 0.9516147869674184, "Religious": 0.7875534587791769, "Scientific": 0.972063010583927}, "Snowflake/snowflake-arctic-embed-l-v2.0 *": {"Education": 0.842983862591239, "General": 0.8234644544198769, "Legal": 0.9714999999999999, "Religious": 0.7554954774990302, "Scientific": 0.9867197875166003}, "bflhc/MoD-Embedding": {"Education": 0.836519116809344, "General": 0.7947493969555721, "Legal": 0.9405440179997104, "Religious": 0.7249145850545808, "Scientific": 0.9766857893102913}, "codefuse-ai/F2LLM-v2-4B": {"Education": 0.8150350524740768, "General": 0.8692766304603462, "Legal": 0.9339728819339751, "Religious": 0.7898725948249361, "Scientific": 0.9769130548513018}, "geevec-ai/geevec-embeddings-1.0-lite *": {"Education": 0.6665279264503521, "General": 0.6116537245244064, "Legal": 0.8639870280016136, "Religious": 0.42327650694005686, "Scientific": 0.9586229321957832}, "google/embeddinggemma-300m *": {"Education": 0.3439977163239781, "General": 0.3714403209571468, "Legal": 0.424768704397482, "Religious": 0.1661887548816384, "Scientific": 0.46684459285857516}, "ibm-granite/granite-embedding-311m-multilingual-r2 *": {"Education": 0.7503731926080347, "General": 0.7798746817771881, "Legal": 0.9194572659936999, "Religious": 0.6289143393681224, "Scientific": 0.9672832479605389}, "ibm-granite/granite-embedding-97m-multilingual-r2 *": {"Education": 0.6654027795922403, "General": 0.7276691185139802, "Legal": 0.8716223669455828, "Religious": 0.5093119900402573, "Scientific": 0.9318547837197376}, "intfloat/e5-large-v2 *": {"Education": 0.12354729904864084, "General": 0.2032500146686691, "Legal": 0.06794082548957502, "Religious": 0.05158017259572677, "Scientific": 0.0774645320865943}, "intfloat/multilingual-e5-large-instruct *": {"Education": 0.7644403736720432, "General": 0.7686564780381786, "Legal": 0.9498151515151516, "Religious": 0.659785954918176, "Scientific": 0.9786781445645987}, "jinaai/jina-embeddings-v3 *": {"Education": 0.7321272181244656, "General": 0.8043596386147862, "Legal": 0.9350597883597882, "Religious": 0.7308782198343893, "Scientific": 0.9647959748308353}, "jinaai/jina-embeddings-v4-vllm-retrieval *": {"Education": 0.7518193368258324, "General": 0.7193059668238532, "Legal": 0.891800233138509, "Religious": 0.6184905073256123, "Scientific": 0.945485809749176}, "jinaai/jina-embeddings-v5-text-nano *": {"Education": 0.7637675874777022, "General": 0.7446925096508076, "Legal": 0.920836851192578, "Religious": 0.589526968086716, "Scientific": 0.9715901615416558}, "jinaai/jina-embeddings-v5-text-small *": {"Education": 0.8127521870097195, "General": 0.7460740186511176, "Legal": 0.9136995725904797, "Religious": 0.6332967278031888, "Scientific": 0.9722356107814275}, "microsoft/harrier-oss-v1-0.6b *": {"Education": 0.8210035265532787, "General": 0.7300212227608561, "Legal": 0.9291202729044835, "Religious": 0.6187052459277221, "Scientific": 0.9699241495556236}, "mixedbread-ai/mxbai-embed-large-v1 *": {"Education": 0.14056688482544247, "General": 0.10324545336837117, "Legal": 0.10356432758041942, "Religious": 0.039854012440511156, "Scientific": 0.10545252799910732}, "nomic-ai/nomic-embed-text-v1 *": {"Education": 0.1733111206541835, "General": 0.11551857853078205, "Legal": 0.14750100555250564, "Religious": 0.03231315167810946, "Scientific": 0.1346415657802734}, "nomic-ai/nomic-embed-text-v1.5 *": {"Education": 0.17586058346845873, "General": 0.1758354345454899, "Legal": 0.1364248874270954, "Religious": 0.04757970446610652, "Scientific": 0.09280071280932657}, "nvidia/llama-nemotron-embed-1b-v2 *": {"Education": 0.8693094179874005, "General": 0.7813833978557855, "Legal": 0.9744523809523808, "Religious": 0.6601509259195927, "Scientific": 0.9849127300322518}, "sentence-transformers/LaBSE *": {"Education": 0.49372860715424144, "General": 0.5073658077815619, "Legal": 0.575344477102608, "Religious": 0.31580415089172126, "Scientific": 0.7548560696830915}, "sentence-transformers/all-MiniLM-L12-v2 *": {"Education": 0.06726691484414031, "General": 0.07892310131624539, "Legal": 0.053511560423854396, "Religious": 0.044913580501650716, "Scientific": 0.020842542774986674}, "sentence-transformers/all-MiniLM-L6-v2 *": {"Education": 0.009465622586277407, "General": 0.06408218766296021, "Legal": 0.018270702743476086, "Religious": 0.02942663526521513, "Scientific": 0.006531567130151537}},REC_DATA={"BAAI/bge-m3": {"Education": 0.9219512195121952, "General": 0.874, "Legal": 0.994, "Religious": 0.8286852589641435, "Scientific": 0.9960159362549801}, "Octen/Octen-Embedding-0.6B": {"Education": 0.9073170731707317, "General": 0.804, "Legal": 0.952, "Religious": 0.6434262948207171, "Scientific": 0.9820717131474104}, "Octen/Octen-Embedding-4B": {"Education": 0.9609756097560975, "General": 0.884, "Legal": 0.982, "Religious": 0.8067729083665338, "Scientific": 0.9900398406374502}, "Octen/Octen-Embedding-8B": {"Education": 0.975609756097561, "General": 0.892, "Legal": 0.972, "Religious": 0.848605577689243, "Scientific": 0.99800796812749}, "PartAI/Tooka-SBERT *": {"Education": 0.8341463414634146, "General": 0.782, "Legal": 0.89, "Religious": 0.6354581673306773, "Scientific": 0.9760956175298805}, "PartAI/Tooka-SBERT-V2-Large *": {"Education": 0.9073170731707317, "General": 0.844, "Legal": 0.948, "Religious": 0.7410358565737052, "Scientific": 0.9860557768924303}, "PartAI/Tooka-SBERT-V2-Small *": {"Education": 0.8731707317073171, "General": 0.8, "Legal": 0.938, "Religious": 0.6274900398406374, "Scientific": 0.9860557768924303}, "Qwen/Qwen3-Embedding-0.6B": {"Education": 0.8780487804878049, "General": 0.79, "Legal": 0.956, "Religious": 0.6414342629482072, "Scientific": 0.9800796812749004}, "Qwen/Qwen3-Embedding-4B": {"Education": 0.9658536585365853, "General": 0.856, "Legal": 0.986, "Religious": 0.8087649402390438, "Scientific": 0.9840637450199203}, "Qwen/Qwen3-Embedding-8B": {"Education": 0.975609756097561, "General": 0.876, "Legal": 0.992, "Religious": 0.8585657370517928, "Scientific": 0.9860557768924303}, "Snowflake/snowflake-arctic-embed-l-v2.0 *": {"Education": 0.975609756097561, "General": 0.92, "Legal": 0.998, "Religious": 0.8306772908366534, "Scientific": 1.0}, "bflhc/MoD-Embedding": {"Education": 0.9707317073170731, "General": 0.88, "Legal": 0.98, "Religious": 0.8187250996015937, "Scientific": 0.9900398406374502}, "codefuse-ai/F2LLM-v2-4B": {"Education": 0.9463414634146341, "General": 0.942, "Legal": 0.98, "Religious": 0.8585657370517928, "Scientific": 0.9920318725099602}, "geevec-ai/geevec-embeddings-1.0-lite *": {"Education": 0.7853658536585366, "General": 0.706, "Legal": 0.94, "Religious": 0.4940239043824701, "Scientific": 0.9800796812749004}, "google/embeddinggemma-300m *": {"Education": 0.4585365853658537, "General": 0.466, "Legal": 0.534, "Religious": 0.20717131474103587, "Scientific": 0.5836653386454184}, "ibm-granite/granite-embedding-311m-multilingual-r2 *": {"Education": 0.9024390243902439, "General": 0.87, "Legal": 0.972, "Religious": 0.7091633466135459, "Scientific": 0.9920318725099602}, "ibm-granite/granite-embedding-97m-multilingual-r2 *": {"Education": 0.8390243902439024, "General": 0.84, "Legal": 0.946, "Religious": 0.5836653386454184, "Scientific": 0.9681274900398407}, "intfloat/e5-large-v2 *": {"Education": 0.16585365853658537, "General": 0.244, "Legal": 0.092, "Religious": 0.05776892430278884, "Scientific": 0.10557768924302789}, "intfloat/multilingual-e5-large-instruct *": {"Education": 0.9121951219512195, "General": 0.856, "Legal": 0.984, "Religious": 0.7390438247011952, "Scientific": 0.9940239043824701}, "jinaai/jina-embeddings-v3 *": {"Education": 0.9024390243902439, "General": 0.886, "Legal": 0.99, "Religious": 0.8167330677290837, "Scientific": 0.9860557768924303}, "jinaai/jina-embeddings-v4-vllm-retrieval *": {"Education": 0.8780487804878049, "General": 0.82, "Legal": 0.952, "Religious": 0.701195219123506, "Scientific": 0.9681274900398407}, "jinaai/jina-embeddings-v5-text-nano *": {"Education": 0.9121951219512195, "General": 0.838, "Legal": 0.972, "Religious": 0.6912350597609562, "Scientific": 0.9880478087649402}, "jinaai/jina-embeddings-v5-text-small *": {"Education": 0.9317073170731708, "General": 0.84, "Legal": 0.98, "Religious": 0.7111553784860558, "Scientific": 0.9900398406374502}, "microsoft/harrier-oss-v1-0.6b *": {"Education": 0.9463414634146341, "General": 0.824, "Legal": 0.97, "Religious": 0.6992031872509961, "Scientific": 0.9920318725099602}, "mixedbread-ai/mxbai-embed-large-v1 *": {"Education": 0.1902439024390244, "General": 0.12, "Legal": 0.138, "Religious": 0.05179282868525897, "Scientific": 0.13147410358565736}, "nomic-ai/nomic-embed-text-v1 *": {"Education": 0.23414634146341465, "General": 0.154, "Legal": 0.184, "Religious": 0.03187250996015936, "Scientific": 0.17330677290836655}, "nomic-ai/nomic-embed-text-v1.5 *": {"Education": 0.24390243902439024, "General": 0.21, "Legal": 0.172, "Religious": 0.05976095617529881, "Scientific": 0.11752988047808766}, "nvidia/llama-nemotron-embed-1b-v2 *": {"Education": 0.9609756097560975, "General": 0.872, "Legal": 0.996, "Religious": 0.750996015936255, "Scientific": 0.99800796812749}, "sentence-transformers/LaBSE *": {"Education": 0.6487804878048781, "General": 0.616, "Legal": 0.666, "Religious": 0.398406374501992, "Scientific": 0.8725099601593626}, "sentence-transformers/all-MiniLM-L12-v2 *": {"Education": 0.08780487804878048, "General": 0.112, "Legal": 0.062, "Religious": 0.049800796812749, "Scientific": 0.025896414342629483}, "sentence-transformers/all-MiniLM-L6-v2 *": {"Education": 0.0, "General": 0.094, "Legal": 0.026, "Religious": 0.03386454183266932, "Scientific": 0.0099601593625498}};
+const IS_LOCAL={"BAAI/bge-m3": false, "Octen/Octen-Embedding-0.6B": false, "Octen/Octen-Embedding-4B": false, "Octen/Octen-Embedding-8B": false, "PartAI/Tooka-SBERT *": true, "PartAI/Tooka-SBERT-V2-Large *": true, "PartAI/Tooka-SBERT-V2-Small *": true, "Qwen/Qwen3-Embedding-0.6B": false, "Qwen/Qwen3-Embedding-4B": false, "Qwen/Qwen3-Embedding-8B": false, "Snowflake/snowflake-arctic-embed-l-v2.0 *": true, "bflhc/MoD-Embedding": false, "codefuse-ai/F2LLM-v2-4B": false, "geevec-ai/geevec-embeddings-1.0-lite *": true, "google/embeddinggemma-300m *": true, "ibm-granite/granite-embedding-311m-multilingual-r2 *": true, "ibm-granite/granite-embedding-97m-multilingual-r2 *": true, "intfloat/e5-large-v2 *": true, "intfloat/multilingual-e5-large-instruct *": true, "jinaai/jina-embeddings-v3 *": true, "jinaai/jina-embeddings-v4-vllm-retrieval *": true, "jinaai/jina-embeddings-v5-text-nano *": true, "jinaai/jina-embeddings-v5-text-small *": true, "microsoft/harrier-oss-v1-0.6b *": true, "mixedbread-ai/mxbai-embed-large-v1 *": true, "nomic-ai/nomic-embed-text-v1 *": true, "nomic-ai/nomic-embed-text-v1.5 *": true, "nvidia/llama-nemotron-embed-1b-v2 *": true, "sentence-transformers/LaBSE *": true, "sentence-transformers/all-MiniLM-L12-v2 *": true, "sentence-transformers/all-MiniLM-L6-v2 *": true},HF_LINKS={"BAAI/bge-m3": "https://huggingface.co/BAAI/bge-m3", "Octen/Octen-Embedding-0.6B": "https://huggingface.co/Octen/Octen-Embedding-0.6B", "Octen/Octen-Embedding-4B": "https://huggingface.co/Octen/Octen-Embedding-4B", "Octen/Octen-Embedding-8B": "https://huggingface.co/Octen/Octen-Embedding-8B", "PartAI/Tooka-SBERT *": "https://huggingface.co/PartAI/Tooka-SBERT", "PartAI/Tooka-SBERT-V2-Large *": "https://huggingface.co/PartAI/Tooka-SBERT-V2-Large", "PartAI/Tooka-SBERT-V2-Small *": "https://huggingface.co/PartAI/Tooka-SBERT-V2-Small", "Qwen/Qwen3-Embedding-0.6B": "https://huggingface.co/Qwen/Qwen3-Embedding-0.6B", "Qwen/Qwen3-Embedding-4B": "https://huggingface.co/Qwen/Qwen3-Embedding-4B", "Qwen/Qwen3-Embedding-8B": "https://huggingface.co/Qwen/Qwen3-Embedding-8B", "Snowflake/snowflake-arctic-embed-l-v2.0 *": "https://huggingface.co/Snowflake/snowflake-arctic-embed-l-v2.0", "bflhc/MoD-Embedding": "https://huggingface.co/bflhc/MoD-Embedding", "codefuse-ai/F2LLM-v2-4B": "https://huggingface.co/codefuse-ai/F2LLM-v2-4B", "geevec-ai/geevec-embeddings-1.0-lite *": "https://huggingface.co/geevec-ai/geevec-embeddings-1.0-lite", "google/embeddinggemma-300m *": "https://huggingface.co/google/embeddinggemma-300m", "ibm-granite/granite-embedding-311m-multilingual-r2 *": "https://huggingface.co/ibm-granite/granite-embedding-311m-multilingual-r2", "ibm-granite/granite-embedding-97m-multilingual-r2 *": "https://huggingface.co/ibm-granite/granite-embedding-97m-multilingual-r2", "intfloat/e5-large-v2 *": "https://huggingface.co/intfloat/e5-large-v2", "intfloat/multilingual-e5-large-instruct *": "https://huggingface.co/intfloat/multilingual-e5-large-instruct", "jinaai/jina-embeddings-v3 *": "https://huggingface.co/jinaai/jina-embeddings-v3", "jinaai/jina-embeddings-v4-vllm-retrieval *": "https://huggingface.co/jinaai/jina-embeddings-v4-vllm-retrieval", "jinaai/jina-embeddings-v5-text-nano *": "https://huggingface.co/jinaai/jina-embeddings-v5-text-nano", "jinaai/jina-embeddings-v5-text-small *": "https://huggingface.co/jinaai/jina-embeddings-v5-text-small", "microsoft/harrier-oss-v1-0.6b *": "https://huggingface.co/microsoft/harrier-oss-v1-0.6b", "mixedbread-ai/mxbai-embed-large-v1 *": "https://huggingface.co/mixedbread-ai/mxbai-embed-large-v1", "nomic-ai/nomic-embed-text-v1 *": "https://huggingface.co/nomic-ai/nomic-embed-text-v1", "nomic-ai/nomic-embed-text-v1.5 *": "https://huggingface.co/nomic-ai/nomic-embed-text-v1.5", "nvidia/llama-nemotron-embed-1b-v2 *": "https://huggingface.co/nvidia/llama-nemotron-embed-1b-v2", "sentence-transformers/LaBSE *": "https://huggingface.co/sentence-transformers/LaBSE", "sentence-transformers/all-MiniLM-L12-v2 *": "https://huggingface.co/sentence-transformers/all-MiniLM-L12-v2", "sentence-transformers/all-MiniLM-L6-v2 *": "https://huggingface.co/sentence-transformers/all-MiniLM-L6-v2"};
+const BEST_MRR={"Education": 0.8693094179874005, "General": 0.8692766304603462, "Legal": 0.9765984848484849, "Religious": 0.7898725948249361, "Scientific": 0.9874833997343957},BEST_REC={"Education": 0.975609756097561, "General": 0.942, "Legal": 0.998, "Religious": 0.8585657370517928, "Scientific": 1.0};
+const AVG_MRRS={"BAAI/bge-m3": 0.8649233061661474, "Octen/Octen-Embedding-0.6B": 0.771481425095852, "Octen/Octen-Embedding-4B": 0.8574035553312814, "Octen/Octen-Embedding-8B": 0.8714097053762989, "PartAI/Tooka-SBERT *": 0.7264225937947293, "PartAI/Tooka-SBERT-V2-Large *": 0.7970623727653342, "PartAI/Tooka-SBERT-V2-Small *": 0.7656518817373172, "Qwen/Qwen3-Embedding-0.6B": 0.764671032649267, "Qwen/Qwen3-Embedding-4B": 0.8576681857120139, "Qwen/Qwen3-Embedding-8B": 0.8756469107465168, "Snowflake/snowflake-arctic-embed-l-v2.0 *": 0.8760327164053493, "bflhc/MoD-Embedding": 0.8546825812258998, "codefuse-ai/F2LLM-v2-4B": 0.8770140429089273, "geevec-ai/geevec-embeddings-1.0-lite *": 0.7048136236224425, "google/embeddinggemma-300m *": 0.35464801788376404, "ibm-granite/granite-embedding-311m-multilingual-r2 *": 0.8091805455415167, "ibm-granite/granite-embedding-97m-multilingual-r2 *": 0.7411722077623596, "intfloat/e5-large-v2 *": 0.1047565687778412, "intfloat/multilingual-e5-large-instruct *": 0.8242752205416297, "jinaai/jina-embeddings-v3 *": 0.8334441679528529, "jinaai/jina-embeddings-v4-vllm-retrieval *": 0.7853803707725965, "jinaai/jina-embeddings-v5-text-nano *": 0.7980828155898919, "jinaai/jina-embeddings-v5-text-small *": 0.8156116233671866, "microsoft/harrier-oss-v1-0.6b *": 0.8137548835403928, "mixedbread-ai/mxbai-embed-large-v1 *": 0.09853664124277031, "nomic-ai/nomic-embed-text-v1 *": 0.12065708443917081, "nomic-ai/nomic-embed-text-v1.5 *": 0.12570026454329541, "nvidia/llama-nemotron-embed-1b-v2 *": 0.8540417705494823, "sentence-transformers/LaBSE *": 0.5294198225226449, "sentence-transformers/all-MiniLM-L12-v2 *": 0.05309153997217549, "sentence-transformers/all-MiniLM-L6-v2 *": 0.025555343077616078},AVG_RECS={"BAAI/bge-m3": 0.9229304829462638, "Octen/Octen-Embedding-0.6B": 0.8577630162277717, "Octen/Octen-Embedding-4B": 0.9247576717520161, "Octen/Octen-Embedding-8B": 0.9372446603828589, "PartAI/Tooka-SBERT *": 0.8235400252647945, "PartAI/Tooka-SBERT-V2-Large *": 0.8852817413273734, "PartAI/Tooka-SBERT-V2-Small *": 0.8449433096880771, "Qwen/Qwen3-Embedding-0.6B": 0.8491125449421825, "Qwen/Qwen3-Embedding-4B": 0.9201364687591098, "Qwen/Qwen3-Embedding-8B": 0.9376462540083569, "Snowflake/snowflake-arctic-embed-l-v2.0 *": 0.944857409386843, "bflhc/MoD-Embedding": 0.9278993295112233, "codefuse-ai/F2LLM-v2-4B": 0.9437878145952773, "geevec-ai/geevec-embeddings-1.0-lite *": 0.7810938878631813, "google/embeddinggemma-300m *": 0.4498746477504616, "ibm-granite/granite-embedding-311m-multilingual-r2 *": 0.8891268487027499, "ibm-granite/granite-embedding-97m-multilingual-r2 *": 0.8353634437858322, "intfloat/e5-large-v2 *": 0.13304005441648042, "intfloat/multilingual-e5-large-instruct *": 0.8970525702069768, "jinaai/jina-embeddings-v3 *": 0.9162455738023517, "jinaai/jina-embeddings-v4-vllm-retrieval *": 0.8638742979302304, "jinaai/jina-embeddings-v5-text-nano *": 0.8802955980954232, "jinaai/jina-embeddings-v5-text-small *": 0.8905805072393352, "microsoft/harrier-oss-v1-0.6b *": 0.886315304635118, "mixedbread-ai/mxbai-embed-large-v1 *": 0.12630216694198815, "nomic-ai/nomic-embed-text-v1 *": 0.15546512486638814, "nomic-ai/nomic-embed-text-v1.5 *": 0.1606386551355553, "nvidia/llama-nemotron-embed-1b-v2 *": 0.9155959187639684, "sentence-transformers/LaBSE *": 0.6403393644932466, "sentence-transformers/all-MiniLM-L12-v2 *": 0.0675004178408318, "sentence-transformers/all-MiniLM-L6-v2 *": 0.03276494023904382};
 const RECALL_LABEL="Recall@5";
 const PALETTE=["#38bdf8","#818cf8","#34d399","#fb923c","#f472b6","#a78bfa","#fbbf24","#60a5fa","#4ade80","#f97316","#e879f9","#22d3ee","#fb7185","#86efac","#fde68a","#c4b5fd","#67e8f9","#fca5a5","#6ee7b7","#fcd34d"];
 const bestAvgMrr=Math.max(...MODELS.map(m=>AVG_MRRS[m]));
@@ -755,7 +833,7 @@ function toggleSidebar(){
 }
 
 /* HELPERS */
-function scoreClass(v){if(v==null)return 'badge-na';if(v>=0.80)return 'badge-hi';if(v>=0.60)return 'badge-mid';return 'badge-lo';}
+function scoreClass(v){if(v==null)return 'badge-na';if(v>=0.70)return 'badge-hi';if(v>=0.50)return 'badge-mid';return 'badge-lo';}
 function badge(val,isBest,isAvg=false){
   if(val==null)return`<span class="badge badge-na">—</span>`;
   const cls=isAvg?'badge-avg':(isBest?'':scoreClass(val));