github-actions[bot]
GitHub deploy: 15b91d5242cbef8844a8eab8fc0885f7cc0f3f13
dd8990d
<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 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 OpenAIBatchSize = 1;
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'
? {
openai_config: {
key: OpenAIKey,
url: OpenAIUrl,
batch_size: OpenAIBatchSize
}
}
: {})
}).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;
OpenAIKey = embeddingConfig.openai_config.key;
OpenAIUrl = embeddingConfig.openai_config.url;
OpenAIBatchSize = embeddingConfig.openai_config.batch_size ?? 1;
}
};
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={$i18n.t('API Key')} bind:value={OpenAIKey} />
</div>
<div class="flex mt-0.5 space-x-2">
<div class=" self-center text-xs font-medium">{$i18n.t('Embedding Batch Size')}</div>
<div class=" flex-1">
<input
id="steps-range"
type="range"
min="1"
max="2048"
step="1"
bind:value={OpenAIBatchSize}
class="w-full h-2 rounded-lg appearance-none cursor-pointer dark:bg-gray-700"
/>
</div>
<div class="">
<input
bind:value={OpenAIBatchSize}
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>