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### What problem does this PR solve? Feat: Add keyword item to AssistantSetting #4543 ### Type of change - [x] New Feature (non-breaking change which adds functionality)
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@ -1,3 +1,4 @@
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import { DocumentParserType } from '@/constants/knowledge';
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import { useTranslate } from '@/hooks/common-hooks';
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import { useFetchKnowledgeList } from '@/hooks/knowledge-hooks';
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import { UserOutlined } from '@ant-design/icons';
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@ -8,7 +9,11 @@ const KnowledgeBaseItem = () => {
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const { list: knowledgeList } = useFetchKnowledgeList(true);
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const knowledgeOptions = knowledgeList.map((x) => ({
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const filteredKnowledgeList = knowledgeList.filter(
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(x) => x.parser_id !== DocumentParserType.Tag,
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);
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const knowledgeOptions = filteredKnowledgeList.map((x) => ({
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label: (
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<Space>
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<Avatar size={20} icon={<UserOutlined />} src={x.avatar} />
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@ -63,3 +63,20 @@ export enum DocumentType {
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Virtual = 'virtual',
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Visual = 'visual',
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}
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export enum DocumentParserType {
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Naive = 'naive',
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Qa = 'qa',
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Resume = 'resume',
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Manual = 'manual',
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Table = 'table',
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Paper = 'paper',
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Book = 'book',
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Laws = 'laws',
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Presentation = 'presentation',
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Picture = 'picture',
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One = 'one',
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Audio = 'audio',
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Email = 'email',
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Tag = 'tag',
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}
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@ -520,6 +520,8 @@ This procedure will improve precision of retrieval by adding more information to
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useKnowledgeGraph: 'Use knowledge graph',
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useKnowledgeGraphTip:
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'It will retrieve descriptions of relevant entities,relations and community reports, which will enhance inference of multi-hop and complex question.',
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keyword: 'Keyword analysis',
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keywordTip: `Apply LLM to analyze user's questions, extract keywords which will be emphesize during the relevance omputation.`,
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},
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setting: {
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profile: 'Profile',
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@ -504,6 +504,8 @@ export default {
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useKnowledgeGraph: '使用知識圖譜',
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useKnowledgeGraph提示:
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'它將檢索相關實體、關係和社區報告的描述,這將增強多跳和複雜問題的推理。',
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keyword: '關鍵字分析',
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keywordTip: `應用LLM分析使用者的問題,提取在相關性計算中需要強調的關鍵字。`,
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},
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setting: {
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profile: '概述',
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@ -521,6 +521,8 @@ General:实体和关系提取提示来自 GitHub - microsoft/graphrag:基于
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useKnowledgeGraph: '使用知识图谱',
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useKnowledgeGraphTip:
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'它将检索相关实体、关系和社区报告的描述,这将增强多跳和复杂问题的推理。',
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keyword: '关键词分析',
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keywordTip: `应用 LLM 分析用户的问题,提取在相关性计算中要强调的关键词。`,
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},
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setting: {
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profile: '概要',
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@ -107,6 +107,15 @@ const AssistantSetting = ({ show, form }: ISegmentedContentProps) => {
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>
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<Switch />
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</Form.Item>
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<Form.Item
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label={t('keyword')}
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valuePropName="checked"
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name={['prompt_config', 'keyword']}
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tooltip={t('keywordTip')}
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initialValue={false}
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>
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<Switch />
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</Form.Item>
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{/* <Form.Item
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label={t('selfRag')}
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valuePropName="checked"
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