Fix: Improve some functional issues with the data source. #10703 (#11081)

### What problem does this PR solve?

Fix: Improve some functional issues with the data source. #10703

### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)

web/src/locales/en.ts

@@ -683,6 +683,11 @@ This auto-tagging feature enhances retrieval by adding another layer of domain-s
       tocEnhanceTip: ` During the parsing of the document, table of contents information was generated (see the 'Enable Table of Contents Extraction' option in the General method). This allows the large model to return table of contents items relevant to the user's query, thereby using these items to retrieve related chunks and apply weighting to these chunks during the sorting process. This approach is derived from mimicking the behavioral logic of how humans search for knowledge in books.`,
     },
     setting: {
+      addDataSourceModalTital: 'Create your {{name}} connector',
+      deleteSourceModalTitle: 'Delete data source',
+      deleteSourceModalContent: `
+      <p>Are you sure you want to delete this data source link?</p>`,
+      deleteSourceModalConfirmText: 'Comfirm',
       errorMsg: 'Error message',
       newDocs: 'New Docs',
       timeStarted: 'Time started',

web/src/locales/zh.ts

@@ -674,6 +674,11 @@ General：实体和关系提取提示来自 GitHub - microsoft/graphrag：基于
       tocEnhanceTip: `解析文档时生成了目录信息（见General方法的‘启用目录抽取’），让大模型返回和用户问题相关的目录项，从而利用目录项拿到相关chunk，对这些chunk在排序中进行加权。这种方法来源于模仿人类查询书本中知识的行为逻辑`,
     },
     setting: {
+      addDataSourceModalTital: '创建你的 {{name}} 链接',
+      deleteSourceModalTitle: '删除数据源链接',
+      deleteSourceModalContent: `
+      <p>您确定要删除此数据源链接吗？</p>`,
+      deleteSourceModalConfirmText: '确认',
       errorMsg: '错误信息',
       newDocs: '新文档',
       timeStarted: '开始时间',