| <script lang="ts"> |
| import { toast } from 'svelte-sonner'; |
| |
| import { onMount, getContext, createEventDispatcher } from 'svelte'; |
| |
| const dispatch = createEventDispatcher(); |
| |
| import { |
| getQuerySettings, |
| updateQuerySettings, |
| resetVectorDB, |
| getEmbeddingConfig, |
| updateEmbeddingConfig, |
| getRerankingConfig, |
| updateRerankingConfig, |
| resetUploadDir, |
| getRAGConfig, |
| updateRAGConfig |
| } from '$lib/apis/retrieval'; |
| |
| import { knowledge, models } from '$lib/stores'; |
| import { getKnowledgeItems } from '$lib/apis/knowledge'; |
| import { uploadDir, deleteAllFiles, deleteFileById } from '$lib/apis/files'; |
| |
| import ResetUploadDirConfirmDialog from '$lib/components/common/ConfirmDialog.svelte'; |
| import ResetVectorDBConfirmDialog from '$lib/components/common/ConfirmDialog.svelte'; |
| import SensitiveInput from '$lib/components/common/SensitiveInput.svelte'; |
| import Tooltip from '$lib/components/common/Tooltip.svelte'; |
| |
| const i18n = getContext('i18n'); |
| |
| let scanDirLoading = false; |
| let updateEmbeddingModelLoading = false; |
| let updateRerankingModelLoading = false; |
| |
| let showResetConfirm = false; |
| let showResetUploadDirConfirm = false; |
| |
| let embeddingEngine = ''; |
| let embeddingModel = ''; |
| let embeddingBatchSize = 1; |
| let rerankingModel = ''; |
| |
| let fileMaxSize = null; |
| let fileMaxCount = null; |
| |
| let contentExtractionEngine = 'default'; |
| let tikaServerUrl = ''; |
| let showTikaServerUrl = false; |
| |
| let chunkSize = 0; |
| let chunkOverlap = 0; |
| let pdfExtractImages = true; |
| |
| let OpenAIKey = ''; |
| let OpenAIUrl = ''; |
| |
| let querySettings = { |
| template: '', |
| r: 0.0, |
| k: 4, |
| hybrid: false |
| }; |
| |
| const embeddingModelUpdateHandler = async () => { |
| if (embeddingEngine === '' && embeddingModel.split('/').length - 1 > 1) { |
| toast.error( |
| $i18n.t( |
| 'Model filesystem path detected. Model shortname is required for update, cannot continue.' |
| ) |
| ); |
| return; |
| } |
| if (embeddingEngine === 'ollama' && embeddingModel === '') { |
| toast.error( |
| $i18n.t( |
| 'Model filesystem path detected. Model shortname is required for update, cannot continue.' |
| ) |
| ); |
| return; |
| } |
| |
| if (embeddingEngine === 'openai' && embeddingModel === '') { |
| toast.error( |
| $i18n.t( |
| 'Model filesystem path detected. Model shortname is required for update, cannot continue.' |
| ) |
| ); |
| return; |
| } |
| |
| if ((embeddingEngine === 'openai' && OpenAIKey === '') || OpenAIUrl === '') { |
| toast.error($i18n.t('OpenAI URL/Key required.')); |
| return; |
| } |
| |
| console.log('Update embedding model attempt:', embeddingModel); |
| |
| updateEmbeddingModelLoading = true; |
| const res = await updateEmbeddingConfig(localStorage.token, { |
| embedding_engine: embeddingEngine, |
| embedding_model: embeddingModel, |
| ...(embeddingEngine === 'openai' || embeddingEngine === 'ollama' |
| ? { |
| embedding_batch_size: embeddingBatchSize |
| } |
| : {}), |
| ...(embeddingEngine === 'openai' |
| ? { |
| openai_config: { |
| key: OpenAIKey, |
| url: OpenAIUrl |
| } |
| } |
| : {}) |
| }).catch(async (error) => { |
| toast.error(error); |
| await setEmbeddingConfig(); |
| return null; |
| }); |
| updateEmbeddingModelLoading = false; |
| |
| if (res) { |
| console.log('embeddingModelUpdateHandler:', res); |
| if (res.status === true) { |
| toast.success($i18n.t('Embedding model set to "{{embedding_model}}"', res), { |
| duration: 1000 * 10 |
| }); |
| } |
| } |
| }; |
| |
| const rerankingModelUpdateHandler = async () => { |
| console.log('Update reranking model attempt:', rerankingModel); |
| |
| updateRerankingModelLoading = true; |
| const res = await updateRerankingConfig(localStorage.token, { |
| reranking_model: rerankingModel |
| }).catch(async (error) => { |
| toast.error(error); |
| await setRerankingConfig(); |
| return null; |
| }); |
| updateRerankingModelLoading = false; |
| |
| if (res) { |
| console.log('rerankingModelUpdateHandler:', res); |
| if (res.status === true) { |
| if (rerankingModel === '') { |
| toast.success($i18n.t('Reranking model disabled', res), { |
| duration: 1000 * 10 |
| }); |
| } else { |
| toast.success($i18n.t('Reranking model set to "{{reranking_model}}"', res), { |
| duration: 1000 * 10 |
| }); |
| } |
| } |
| } |
| }; |
| |
| const submitHandler = async () => { |
| await embeddingModelUpdateHandler(); |
| |
| if (querySettings.hybrid) { |
| await rerankingModelUpdateHandler(); |
| } |
| |
| if (contentExtractionEngine === 'tika' && tikaServerUrl === '') { |
| toast.error($i18n.t('Tika Server URL required.')); |
| return; |
| } |
| const res = await updateRAGConfig(localStorage.token, { |
| pdf_extract_images: pdfExtractImages, |
| file: { |
| max_size: fileMaxSize === '' ? null : fileMaxSize, |
| max_count: fileMaxCount === '' ? null : fileMaxCount |
| }, |
| chunk: { |
| chunk_overlap: chunkOverlap, |
| chunk_size: chunkSize |
| }, |
| content_extraction: { |
| engine: contentExtractionEngine, |
| tika_server_url: tikaServerUrl |
| } |
| }); |
| |
| await updateQuerySettings(localStorage.token, querySettings); |
| |
| dispatch('save'); |
| }; |
| |
| const setEmbeddingConfig = async () => { |
| const embeddingConfig = await getEmbeddingConfig(localStorage.token); |
| |
| if (embeddingConfig) { |
| embeddingEngine = embeddingConfig.embedding_engine; |
| embeddingModel = embeddingConfig.embedding_model; |
| embeddingBatchSize = embeddingConfig.embedding_batch_size ?? 1; |
| |
| OpenAIKey = embeddingConfig.openai_config.key; |
| OpenAIUrl = embeddingConfig.openai_config.url; |
| } |
| }; |
| |
| const setRerankingConfig = async () => { |
| const rerankingConfig = await getRerankingConfig(localStorage.token); |
| |
| if (rerankingConfig) { |
| rerankingModel = rerankingConfig.reranking_model; |
| } |
| }; |
| |
| const toggleHybridSearch = async () => { |
| querySettings.hybrid = !querySettings.hybrid; |
| querySettings = await updateQuerySettings(localStorage.token, querySettings); |
| }; |
| |
| onMount(async () => { |
| await setEmbeddingConfig(); |
| await setRerankingConfig(); |
| |
| querySettings = await getQuerySettings(localStorage.token); |
| const res = await getRAGConfig(localStorage.token); |
| |
| if (res) { |
| pdfExtractImages = res.pdf_extract_images; |
| |
| chunkSize = res.chunk.chunk_size; |
| chunkOverlap = res.chunk.chunk_overlap; |
| |
| contentExtractionEngine = res.content_extraction.engine; |
| tikaServerUrl = res.content_extraction.tika_server_url; |
| showTikaServerUrl = contentExtractionEngine === 'tika'; |
| |
| fileMaxSize = res?.file.max_size ?? ''; |
| fileMaxCount = res?.file.max_count ?? ''; |
| } |
| }); |
| </script> |
|
|
| <ResetUploadDirConfirmDialog |
| bind:show={showResetUploadDirConfirm} |
| on:confirm={async () => { |
| const res = await deleteAllFiles(localStorage.token).catch((error) => { |
| toast.error(error); |
| return null; |
| }); |
|
|
| if (res) { |
| toast.success($i18n.t('Success')); |
| } |
| }} |
| /> |
|
|
| <ResetVectorDBConfirmDialog |
| bind:show={showResetConfirm} |
| on:confirm={() => { |
| const res = resetVectorDB(localStorage.token).catch((error) => { |
| toast.error(error); |
| return null; |
| }); |
|
|
| if (res) { |
| toast.success($i18n.t('Success')); |
| } |
| }} |
| /> |
|
|
| <form |
| class="flex flex-col h-full justify-between space-y-3 text-sm" |
| on:submit|preventDefault={() => { |
| submitHandler(); |
| }} |
| > |
| <div class=" space-y-2.5 overflow-y-scroll scrollbar-hidden h-full pr-1.5"> |
| <div class="flex flex-col gap-0.5"> |
| <div class=" mb-0.5 text-sm font-medium">{$i18n.t('General Settings')}</div> |
| |
| <div class=" flex w-full justify-between"> |
| <div class=" self-center text-xs font-medium">{$i18n.t('Embedding Model Engine')}</div> |
| <div class="flex items-center relative"> |
| <select |
| class="dark:bg-gray-900 w-fit pr-8 rounded px-2 p-1 text-xs bg-transparent outline-none text-right" |
| bind:value={embeddingEngine} |
| placeholder="Select an embedding model engine" |
| on:change={(e) => { |
| if (e.target.value === 'ollama') { |
| embeddingModel = ''; |
| } else if (e.target.value === 'openai') { |
| embeddingModel = 'text-embedding-3-small'; |
| } else if (e.target.value === '') { |
| embeddingModel = 'sentence-transformers/all-MiniLM-L6-v2'; |
| } |
| }} |
| > |
| <option value="">{$i18n.t('Default (SentenceTransformers)')}</option> |
| <option value="ollama">{$i18n.t('Ollama')}</option> |
| <option value="openai">{$i18n.t('OpenAI')}</option> |
| </select> |
| </div> |
| </div> |
| |
| {#if embeddingEngine === 'openai'} |
| <div class="my-0.5 flex gap-2"> |
| <input |
| class="flex-1 w-full rounded-lg py-2 px-4 text-sm bg-gray-50 dark:text-gray-300 dark:bg-gray-850 outline-none" |
| placeholder={$i18n.t('API Base URL')} |
| bind:value={OpenAIUrl} |
| required |
| /> |
| |
| <SensitiveInput placeholder={$i18n.t('API Key')} bind:value={OpenAIKey} /> |
| </div> |
| {/if} |
| {#if embeddingEngine === 'ollama' || embeddingEngine === 'openai'} |
| <div class="flex mt-0.5 space-x-2"> |
| <div class=" self-center text-xs font-medium">{$i18n.t('Embedding Batch Size')}</div> |
| <div class=" flex-1"> |
| <input |
| id="steps-range" |
| type="range" |
| min="1" |
| max="2048" |
| step="1" |
| bind:value={embeddingBatchSize} |
| class="w-full h-2 rounded-lg appearance-none cursor-pointer dark:bg-gray-700" |
| /> |
| </div> |
| <div class=""> |
| <input |
| bind:value={embeddingBatchSize} |
| type="number" |
| class=" bg-transparent text-center w-14" |
| min="-2" |
| max="16000" |
| step="1" |
| /> |
| </div> |
| </div> |
| {/if} |
| |
| <div class=" flex w-full justify-between"> |
| <div class=" self-center text-xs font-medium">{$i18n.t('Hybrid Search')}</div> |
| |
| <button |
| class="p-1 px-3 text-xs flex rounded transition" |
| on:click={() => { |
| toggleHybridSearch(); |
| }} |
| type="button" |
| > |
| {#if querySettings.hybrid === true} |
| <span class="ml-2 self-center">{$i18n.t('On')}</span> |
| {:else} |
| <span class="ml-2 self-center">{$i18n.t('Off')}</span> |
| {/if} |
| </button> |
| </div> |
| </div> |
|
|
| <hr class="dark:border-gray-850" /> |
|
|
| <div class="space-y-2" /> |
| <div> |
| <div class=" mb-2 text-sm font-medium">{$i18n.t('Embedding Model')}</div> |
| |
| {#if embeddingEngine === 'ollama'} |
| <div class="flex w-full"> |
| <div class="flex-1 mr-2"> |
| <select |
| class="w-full rounded-lg py-2 px-4 text-sm bg-gray-50 dark:text-gray-300 dark:bg-gray-850 outline-none" |
| bind:value={embeddingModel} |
| placeholder={$i18n.t('Select a model')} |
| required |
| > |
| {#if !embeddingModel} |
| <option value="" disabled selected>{$i18n.t('Select a model')}</option> |
| {/if} |
| {#each $models.filter((m) => m.id && m.ollama && !(m?.preset ?? false)) as model} |
| <option value={model.id} class="bg-gray-50 dark:bg-gray-700">{model.name}</option> |
| {/each} |
| </select> |
| </div> |
| </div> |
| {:else} |
| <div class="flex w-full"> |
| <div class="flex-1 mr-2"> |
| <input |
| class="w-full rounded-lg py-2 px-4 text-sm bg-gray-50 dark:text-gray-300 dark:bg-gray-850 outline-none" |
| placeholder={$i18n.t('Set embedding model (e.g. {{model}})', { |
| model: embeddingModel.slice(-40) |
| })} |
| bind:value={embeddingModel} |
| /> |
| </div> |
| |
| {#if embeddingEngine === ''} |
| <button |
| class="px-2.5 bg-gray-50 hover:bg-gray-200 text-gray-800 dark:bg-gray-850 dark:hover:bg-gray-800 dark:text-gray-100 rounded-lg transition" |
| on:click={() => { |
| embeddingModelUpdateHandler(); |
| }} |
| disabled={updateEmbeddingModelLoading} |
| > |
| {#if updateEmbeddingModelLoading} |
| <div class="self-center"> |
| <svg |
| class=" w-4 h-4" |
| viewBox="0 0 24 24" |
| fill="currentColor" |
| xmlns="http://www.w3.org/2000/svg" |
| > |
| <style> |
| .spinner_ajPY { |
| transform-origin: center; |
| animation: spinner_AtaB 0.75s infinite linear; |
| } |
| |
| @keyframes spinner_AtaB { |
| 100% { |
| transform: rotate(360deg); |
| } |
| } |
| </style> |
| <path |
| d="M12,1A11,11,0,1,0,23,12,11,11,0,0,0,12,1Zm0,19a8,8,0,1,1,8-8A8,8,0,0,1,12,20Z" |
| opacity=".25" |
| /> |
| <path |
| d="M10.14,1.16a11,11,0,0,0-9,8.92A1.59,1.59,0,0,0,2.46,12,1.52,1.52,0,0,0,4.11,10.7a8,8,0,0,1,6.66-6.61A1.42,1.42,0,0,0,12,2.69h0A1.57,1.57,0,0,0,10.14,1.16Z" |
| class="spinner_ajPY" |
| /> |
| </svg> |
| </div> |
| {:else} |
| <svg |
| xmlns="http://www.w3.org/2000/svg" |
| viewBox="0 0 16 16" |
| fill="currentColor" |
| class="w-4 h-4" |
| > |
| <path |
| d="M8.75 2.75a.75.75 0 0 0-1.5 0v5.69L5.03 6.22a.75.75 0 0 0-1.06 1.06l3.5 3.5a.75.75 0 0 0 1.06 0l3.5-3.5a.75.75 0 0 0-1.06-1.06L8.75 8.44V2.75Z" |
| /> |
| <path |
| d="M3.5 9.75a.75.75 0 0 0-1.5 0v1.5A2.75 2.75 0 0 0 4.75 14h6.5A2.75 2.75 0 0 0 14 11.25v-1.5a.75.75 0 0 0-1.5 0v1.5c0 .69-.56 1.25-1.25 1.25h-6.5c-.69 0-1.25-.56-1.25-1.25v-1.5Z" |
| /> |
| </svg> |
| {/if} |
| </button> |
| {/if} |
| </div> |
| {/if} |
|
|
| <div class="mt-2 mb-1 text-xs text-gray-400 dark:text-gray-500"> |
| {$i18n.t( |
| 'Warning: If you update or change your embedding model, you will need to re-import all documents.' |
| )} |
| </div> |
|
|
| {#if querySettings.hybrid === true} |
| <div class=" "> |
| <div class=" mb-2 text-sm font-medium">{$i18n.t('Reranking Model')}</div> |
| |
| <div class="flex w-full"> |
| <div class="flex-1 mr-2"> |
| <input |
| class="w-full rounded-lg py-2 px-4 text-sm bg-gray-50 dark:text-gray-300 dark:bg-gray-850 outline-none" |
| placeholder={$i18n.t('Set reranking model (e.g. {{model}})', { |
| model: 'BAAI/bge-reranker-v2-m3' |
| })} |
| bind:value={rerankingModel} |
| /> |
| </div> |
| <button |
| class="px-2.5 bg-gray-50 hover:bg-gray-200 text-gray-800 dark:bg-gray-850 dark:hover:bg-gray-800 dark:text-gray-100 rounded-lg transition" |
| on:click={() => { |
| rerankingModelUpdateHandler(); |
| }} |
| disabled={updateRerankingModelLoading} |
| > |
| {#if updateRerankingModelLoading} |
| <div class="self-center"> |
| <svg |
| class=" w-4 h-4" |
| viewBox="0 0 24 24" |
| fill="currentColor" |
| xmlns="http://www.w3.org/2000/svg" |
| > |
| <style> |
| .spinner_ajPY { |
| transform-origin: center; |
| animation: spinner_AtaB 0.75s infinite linear; |
| } |
| |
| @keyframes spinner_AtaB { |
| 100% { |
| transform: rotate(360deg); |
| } |
| } |
| </style> |
| <path |
| d="M12,1A11,11,0,1,0,23,12,11,11,0,0,0,12,1Zm0,19a8,8,0,1,1,8-8A8,8,0,0,1,12,20Z" |
| opacity=".25" |
| /> |
| <path |
| d="M10.14,1.16a11,11,0,0,0-9,8.92A1.59,1.59,0,0,0,2.46,12,1.52,1.52,0,0,0,4.11,10.7a8,8,0,0,1,6.66-6.61A1.42,1.42,0,0,0,12,2.69h0A1.57,1.57,0,0,0,10.14,1.16Z" |
| class="spinner_ajPY" |
| /> |
| </svg> |
| </div> |
| {:else} |
| <svg |
| xmlns="http://www.w3.org/2000/svg" |
| viewBox="0 0 16 16" |
| fill="currentColor" |
| class="w-4 h-4" |
| > |
| <path |
| d="M8.75 2.75a.75.75 0 0 0-1.5 0v5.69L5.03 6.22a.75.75 0 0 0-1.06 1.06l3.5 3.5a.75.75 0 0 0 1.06 0l3.5-3.5a.75.75 0 0 0-1.06-1.06L8.75 8.44V2.75Z" |
| /> |
| <path |
| d="M3.5 9.75a.75.75 0 0 0-1.5 0v1.5A2.75 2.75 0 0 0 4.75 14h6.5A2.75 2.75 0 0 0 14 11.25v-1.5a.75.75 0 0 0-1.5 0v1.5c0 .69-.56 1.25-1.25 1.25h-6.5c-.69 0-1.25-.56-1.25-1.25v-1.5Z" |
| /> |
| </svg> |
| {/if} |
| </button> |
| </div> |
| </div> |
| {/if} |
| </div> |
|
|
| <hr class=" dark:border-gray-850" /> |
|
|
| <div class=""> |
| <div class="text-sm font-medium">{$i18n.t('Content Extraction')}</div> |
| |
| <div class="flex w-full justify-between mt-2"> |
| <div class="self-center text-xs font-medium">{$i18n.t('Engine')}</div> |
| <div class="flex items-center relative"> |
| <select |
| class="dark:bg-gray-900 w-fit pr-8 rounded px-2 p-1 text-xs bg-transparent outline-none text-right" |
| bind:value={contentExtractionEngine} |
| on:change={(e) => { |
| showTikaServerUrl = e.target.value === 'tika'; |
| }} |
| > |
| <option value="">{$i18n.t('Default')} </option> |
| <option value="tika">{$i18n.t('Tika')}</option> |
| </select> |
| </div> |
| </div> |
|
|
| {#if showTikaServerUrl} |
| <div class="flex w-full mt-2"> |
| <div class="flex-1 mr-2"> |
| <input |
| class="w-full rounded-lg py-2 px-4 text-sm bg-gray-50 dark:text-gray-300 dark:bg-gray-850 outline-none" |
| placeholder={$i18n.t('Enter Tika Server URL')} |
| bind:value={tikaServerUrl} |
| /> |
| </div> |
| </div> |
| {/if} |
| </div> |
|
|
| <hr class=" dark:border-gray-850" /> |
|
|
| <div class=""> |
| <div class="text-sm font-medium">{$i18n.t('Files')}</div> |
| |
| <div class=" my-2 flex gap-1.5"> |
| <div class="w-full"> |
| <div class=" self-center text-xs font-medium min-w-fit mb-1"> |
| {$i18n.t('Max Upload Size')} |
| </div> |
| |
| <div class="self-center"> |
| <Tooltip |
| content={$i18n.t( |
| 'The maximum file size in MB. If the file size exceeds this limit, the file will not be uploaded.' |
| )} |
| placement="top-start" |
| > |
| <input |
| class="w-full rounded-lg py-1.5 px-4 text-sm bg-gray-50 dark:text-gray-300 dark:bg-gray-850 outline-none" |
| type="number" |
| placeholder={$i18n.t('Leave empty for unlimited')} |
| bind:value={fileMaxSize} |
| autocomplete="off" |
| min="0" |
| /> |
| </Tooltip> |
| </div> |
| </div> |
| |
| <div class=" w-full"> |
| <div class="self-center text-xs font-medium min-w-fit mb-1"> |
| {$i18n.t('Max Upload Count')} |
| </div> |
| <div class="self-center"> |
| <Tooltip |
| content={$i18n.t( |
| 'The maximum number of files that can be used at once in chat. If the number of files exceeds this limit, the files will not be uploaded.' |
| )} |
| placement="top-start" |
| > |
| <input |
| class=" w-full rounded-lg py-1.5 px-4 text-sm bg-gray-50 dark:text-gray-300 dark:bg-gray-850 outline-none" |
| type="number" |
| placeholder={$i18n.t('Leave empty for unlimited')} |
| bind:value={fileMaxCount} |
| autocomplete="off" |
| min="0" |
| /> |
| </Tooltip> |
| </div> |
| </div> |
| </div> |
| </div> |
|
|
| <hr class=" dark:border-gray-850" /> |
|
|
| <div class=" "> |
| <div class=" text-sm font-medium">{$i18n.t('Query Params')}</div> |
| |
| <div class=" flex gap-1"> |
| <div class=" flex w-full justify-between"> |
| <div class="self-center text-xs font-medium min-w-fit">{$i18n.t('Top K')}</div> |
| |
| <div class="self-center p-3"> |
| <input |
| class=" w-full rounded-lg py-1.5 px-4 text-sm bg-gray-50 dark:text-gray-300 dark:bg-gray-850 outline-none" |
| type="number" |
| placeholder={$i18n.t('Enter Top K')} |
| bind:value={querySettings.k} |
| autocomplete="off" |
| min="0" |
| /> |
| </div> |
| </div> |
| |
| {#if querySettings.hybrid === true} |
| <div class=" flex w-full justify-between"> |
| <div class=" self-center text-xs font-medium min-w-fit"> |
| {$i18n.t('Minimum Score')} |
| </div> |
| |
| <div class="self-center p-3"> |
| <input |
| class=" w-full rounded-lg py-1.5 px-4 text-sm bg-gray-50 dark:text-gray-300 dark:bg-gray-850 outline-none" |
| type="number" |
| step="0.01" |
| placeholder={$i18n.t('Enter Score')} |
| bind:value={querySettings.r} |
| autocomplete="off" |
| min="0.0" |
| title={$i18n.t('The score should be a value between 0.0 (0%) and 1.0 (100%).')} |
| /> |
| </div> |
| </div> |
| {/if} |
| </div> |
| |
| {#if querySettings.hybrid === true} |
| <div class="mt-2 mb-1 text-xs text-gray-400 dark:text-gray-500"> |
| {$i18n.t( |
| 'Note: If you set a minimum score, the search will only return documents with a score greater than or equal to the minimum score.' |
| )} |
| </div> |
| |
| <hr class=" dark:border-gray-850 my-3" /> |
| {/if} |
| |
| <div> |
| <div class=" mb-2.5 text-sm font-medium">{$i18n.t('RAG Template')}</div> |
| <Tooltip |
| content={$i18n.t('Leave empty to use the default prompt, or enter a custom prompt')} |
| placement="top-start" |
| > |
| <textarea |
| bind:value={querySettings.template} |
| placeholder={$i18n.t('Leave empty to use the default prompt, or enter a custom prompt')} |
| class="w-full rounded-lg px-4 py-3 text-sm bg-gray-50 dark:text-gray-300 dark:bg-gray-850 outline-none resize-none" |
| rows="4" |
| /> |
| </Tooltip> |
| </div> |
| </div> |
|
|
| <hr class=" dark:border-gray-850" /> |
|
|
| <div class=" "> |
| <div class=" text-sm font-medium">{$i18n.t('Chunk Params')}</div> |
| |
| <div class=" my-2 flex gap-1.5"> |
| <div class=" w-full justify-between"> |
| <div class="self-center text-xs font-medium min-w-fit mb-1">{$i18n.t('Chunk Size')}</div> |
| <div class="self-center"> |
| <input |
| class=" w-full rounded-lg py-1.5 px-4 text-sm bg-gray-50 dark:text-gray-300 dark:bg-gray-850 outline-none" |
| type="number" |
| placeholder={$i18n.t('Enter Chunk Size')} |
| bind:value={chunkSize} |
| autocomplete="off" |
| min="0" |
| /> |
| </div> |
| </div> |
| |
| <div class="w-full"> |
| <div class=" self-center text-xs font-medium min-w-fit mb-1"> |
| {$i18n.t('Chunk Overlap')} |
| </div> |
| |
| <div class="self-center"> |
| <input |
| class="w-full rounded-lg py-1.5 px-4 text-sm bg-gray-50 dark:text-gray-300 dark:bg-gray-850 outline-none" |
| type="number" |
| placeholder={$i18n.t('Enter Chunk Overlap')} |
| bind:value={chunkOverlap} |
| autocomplete="off" |
| min="0" |
| /> |
| </div> |
| </div> |
| </div> |
| |
| <div class="my-3"> |
| <div class="flex justify-between items-center text-xs"> |
| <div class=" text-xs font-medium">{$i18n.t('PDF Extract Images (OCR)')}</div> |
| |
| <button |
| class=" text-xs font-medium text-gray-500" |
| type="button" |
| on:click={() => { |
| pdfExtractImages = !pdfExtractImages; |
| }}>{pdfExtractImages ? $i18n.t('On') : $i18n.t('Off')}</button |
| > |
| </div> |
| </div> |
| </div> |
|
|
| <hr class=" dark:border-gray-850" /> |
|
|
| <div> |
| <button |
| class=" flex rounded-xl py-2 px-3.5 w-full hover:bg-gray-200 dark:hover:bg-gray-800 transition" |
| on:click={() => { |
| showResetUploadDirConfirm = true; |
| }} |
| type="button" |
| > |
| <div class=" self-center mr-3"> |
| <svg |
| xmlns="http://www.w3.org/2000/svg" |
| viewBox="0 0 24 24" |
| fill="currentColor" |
| class="size-4" |
| > |
| <path |
| fill-rule="evenodd" |
| d="M5.625 1.5H9a3.75 3.75 0 0 1 3.75 3.75v1.875c0 1.036.84 1.875 1.875 1.875H16.5a3.75 3.75 0 0 1 3.75 3.75v7.875c0 1.035-.84 1.875-1.875 1.875H5.625a1.875 1.875 0 0 1-1.875-1.875V3.375c0-1.036.84-1.875 1.875-1.875ZM9.75 14.25a.75.75 0 0 0 0 1.5H15a.75.75 0 0 0 0-1.5H9.75Z" |
| clip-rule="evenodd" |
| /> |
| <path |
| d="M14.25 5.25a5.23 5.23 0 0 0-1.279-3.434 9.768 9.768 0 0 1 6.963 6.963A5.23 5.23 0 0 0 16.5 7.5h-1.875a.375.375 0 0 1-.375-.375V5.25Z" |
| /> |
| </svg> |
| </div> |
| <div class=" self-center text-sm font-medium">{$i18n.t('Reset Upload Directory')}</div> |
| </button> |
|
|
| <button |
| class=" flex rounded-xl py-2 px-3.5 w-full hover:bg-gray-200 dark:hover:bg-gray-800 transition" |
| on:click={() => { |
| showResetConfirm = true; |
| }} |
| type="button" |
| > |
| <div class=" self-center mr-3"> |
| <svg |
| xmlns="http://www.w3.org/2000/svg" |
| viewBox="0 0 16 16" |
| fill="currentColor" |
| class="w-4 h-4" |
| > |
| <path |
| fill-rule="evenodd" |
| d="M3.5 2A1.5 1.5 0 0 0 2 3.5v9A1.5 1.5 0 0 0 3.5 14h9a1.5 1.5 0 0 0 1.5-1.5v-7A1.5 1.5 0 0 0 12.5 4H9.621a1.5 1.5 0 0 1-1.06-.44L7.439 2.44A1.5 1.5 0 0 0 6.38 2H3.5Zm6.75 7.75a.75.75 0 0 0 0-1.5h-4.5a.75.75 0 0 0 0 1.5h4.5Z" |
| clip-rule="evenodd" |
| /> |
| </svg> |
| </div> |
| <div class=" self-center text-sm font-medium">{$i18n.t('Reset Vector Storage')}</div> |
| </button> |
| </div> |
| </div> |
| <div class="flex justify-end pt-3 text-sm font-medium"> |
| <button |
| class=" px-4 py-2 bg-emerald-700 hover:bg-emerald-800 text-gray-100 transition rounded-lg" |
| type="submit" |
| > |
| {$i18n.t('Save')} |
| </button> |
| </div> |
| </form> |
|
|