List knowledge entries from TiDB RAG knowledge base with pagination.

This tool retrieves knowledge entries from the database, supporting filtering by category and pagination.

Args:

• limit (number): Maximum results to return, 1-100 (default: 20)

• offset (number): Number of results to skip for pagination (default: 0)

• category (string, optional): Filter by category

• response_format ('markdown' | 'json'): Output format (default: 'markdown')

Returns: For JSON format: { "total": number, // Total entries matching criteria "count": number, // Entries in this response "offset": number, // Current pagination offset "items": [...], // Array of knowledge entries "has_more": boolean, // Whether more results exist "next_offset": number // Offset for next page (if has_more) }

Examples:

• List first 10 entries: { "limit": 10 }

• Filter by category: { "category": "技术文档", "limit": 20 }

• Paginate: { "limit": 20, "offset": 20 }

Get a single knowledge entry by ID from TiDB RAG knowledge base.

This tool retrieves the full content of a specific knowledge entry.

Args:

• id (string): Knowledge entry ID (e.g., "kb-001")

• response_format ('markdown' | 'json'): Output format (default: 'markdown')

Returns: For JSON format: { "id": string, "title": string, "content": string, "category": string | null, "metadata": object | null, "created_at": string, "updated_at": string }

Examples:

• Get by ID: { "id": "kb-001" }

• Get as JSON: { "id": "kb-001", "response_format": "json" }

Search knowledge entries by keyword in TiDB RAG knowledge base.

This tool searches for knowledge entries matching a query string in title or content.

Args:

• query (string): Search query string (1-500 characters)

• limit (number): Maximum results to return, 1-100 (default: 20)

• offset (number): Number of results to skip for pagination (default: 0)

• category (string, optional): Filter by category

• response_format ('markdown' | 'json'): Output format (default: 'markdown')

Returns: For JSON format: { "total": number, // Total matching entries "count": number, // Entries in this response "offset": number, // Current pagination offset "items": [...], // Array of matching knowledge entries "has_more": boolean, // Whether more results exist "next_offset": number // Offset for next page (if has_more) }

Examples:

• Simple search: { "query": "MCP" }

• Search with category filter: { "query": "向量", "category": "数据库" }

• Paginated search: { "query": "RAG", "limit": 10, "offset": 10 }

Search knowledge entries by vector similarity in TiDB (requires vector embeddings).

NOTE: This is a placeholder for future TiDB vector search functionality. Currently returns a not-implemented message.

Args:

• embedding (number[]): Query embedding vector

• top_k (number): Number of similar results to return, 1-100 (default: 10)

• threshold (number): Minimum similarity threshold, 0-1 (default: 0.7)

• response_format ('markdown' | 'json'): Output format (default: 'markdown')

Returns: Vector search results with similarity scores.