### What problem does this PR solve? 1. Add the missing translations.  2. Shorten overly long tips.  ### Type of change - [ ] Bug Fix (non-breaking change which fixes an issue) - [ ] New Feature (non-breaking change which adds functionality) - [ ] Documentation Update - [ ] Refactoring - [ ] Performance Improvement - [x] Other (please describe):tags/v0.17.1
| @@ -54,7 +54,7 @@ const GraphRagItems = ({ marginBottom = false }: GraphRagItemsProps) => { | |||
| (title: React.ReactNode | string) => { | |||
| return { | |||
| title: typeof title === 'string' ? t(title) : title, | |||
| overlayInnerStyle: { width: '50vw' }, | |||
| overlayInnerStyle: { width: '32vw' }, | |||
| }; | |||
| }, | |||
| [t], | |||
| @@ -67,7 +67,7 @@ const GraphRagItems = ({ marginBottom = false }: GraphRagItemsProps) => { | |||
| label={t('useGraphRag')} | |||
| initialValue={false} | |||
| valuePropName="checked" | |||
| tooltip={renderWideTooltip('useGraphRagTip')} | |||
| tooltip={t('useGraphRagTip')} | |||
| > | |||
| <Switch /> | |||
| </Form.Item> | |||
| @@ -520,6 +520,7 @@ This auto-tag feature enhances retrieval by adding another layer of domain-speci | |||
| 'This optimizes user queries using context in a multi-round conversation. When enabled, it will consume additional LLM tokens.', | |||
| howUseId: 'How to use chat ID?', | |||
| description: 'Description of assistant', | |||
| descriptionPlaceholder: 'e.g. A chat assistant for resume.', | |||
| useKnowledgeGraph: 'Use knowledge graph', | |||
| useKnowledgeGraphTip: | |||
| 'It will retrieve descriptions of relevant entities,relations and community reports, which will enhance inference of multi-hop and complex question.', | |||
| @@ -504,6 +504,8 @@ export default { | |||
| '在多輪對話的中,對去知識庫查詢的問題進行最佳化。會呼叫大模型額外消耗token。', | |||
| howUseId: '如何使用聊天ID?', | |||
| description: '助理描述', | |||
| descriptionPlaceholder: | |||
| '例如 你是一個專業的簡曆助手,隻能回答簡曆的問題。', | |||
| useKnowledgeGraph: '使用知識圖譜', | |||
| useKnowledgeGraph提示: | |||
| '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。', | |||
| @@ -520,6 +520,8 @@ General:实体和关系提取提示来自 GitHub - microsoft/graphrag:基于 | |||
| '在多轮对话的中,对去知识库查询的问题进行优化。会调用大模型额外消耗token。', | |||
| howUseId: '如何使用聊天ID?', | |||
| description: '助理描述', | |||
| descriptionPlaceholder: | |||
| '例如 你是一个专业的简历助手,只能回答简历的问题。', | |||
| useKnowledgeGraph: '使用知识图谱', | |||
| useKnowledgeGraphTip: | |||
| '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。', | |||