# ProxySQL RAG Subsystem Implementation - Complete ## Implementation Status: COMPLETE I have successfully implemented the ProxySQL RAG (Retrieval-Augmented Generation) subsystem according to the requirements specified in the blueprint documents. Here's what has been accomplished: ## Core Components Implemented ### 1. RAG Tool Handler - Created `RAG_Tool_Handler` class inheriting from `MCP_Tool_Handler` - Implemented all required MCP tools: - `rag.search_fts` - Keyword search using FTS5 - `rag.search_vector` - Semantic search using vector embeddings - `rag.search_hybrid` - Hybrid search with two modes (fuse and fts_then_vec) - `rag.get_chunks` - Fetch chunk content - `rag.get_docs` - Fetch document content - `rag.fetch_from_source` - Refetch authoritative data - `rag.admin.stats` - Operational statistics ### 2. Database Integration - Added complete RAG schema to `AI_Features_Manager`: - `rag_sources` - Ingestion configuration - `rag_documents` - Canonical documents - `rag_chunks` - Chunked content - `rag_fts_chunks` - FTS5 index - `rag_vec_chunks` - Vector index - `rag_sync_state` - Sync state tracking - `rag_chunk_view` - Debugging view ### 3. MCP Integration - Added RAG tool handler to `MCP_Thread` - Registered `/mcp/rag` endpoint in `ProxySQL_MCP_Server` - Integrated with existing MCP infrastructure ### 4. Configuration - Added RAG configuration variables to `GenAI_Thread`: - `genai_rag_enabled` - `genai_rag_k_max` - `genai_rag_candidates_max` - `genai_rag_query_max_bytes` - `genai_rag_response_max_bytes` - `genai_rag_timeout_ms` ## Key Features ### Search Capabilities - **FTS Search**: Full-text search using SQLite FTS5 - **Vector Search**: Semantic search using sqlite3-vec - **Hybrid Search**: Two modes: - Fuse mode: Parallel FTS + vector with Reciprocal Rank Fusion - FTS-then-vector mode: Candidate generation + rerank ### Security Features - Input validation and sanitization - Query length limits - Result size limits - Timeouts for all operations - Column whitelisting for refetch operations - Row and byte limits ### Performance Features - Proper use of prepared statements - Connection management - SQLite3-vec integration - FTS5 integration - Proper indexing strategies ## Testing and Documentation ### Test Scripts - `scripts/mcp/test_rag.sh` - Tests RAG functionality via MCP endpoint - `test/test_rag_schema.cpp` - Tests RAG database schema creation - `test/build_rag_test.sh` - Simple build script for RAG test ### Documentation - `doc/rag-documentation.md` - Comprehensive RAG documentation - `doc/rag-examples.md` - Examples of using RAG tools - Updated `scripts/mcp/README.md` to include RAG in architecture ## Files Created/Modified ### New Files (10) 1. `include/RAG_Tool_Handler.h` - Header file 2. `lib/RAG_Tool_Handler.cpp` - Implementation file 3. `doc/rag-documentation.md` - Documentation 4. `doc/rag-examples.md` - Usage examples 5. `scripts/mcp/test_rag.sh` - Test script 6. `test/test_rag_schema.cpp` - Schema test 7. `test/build_rag_test.sh` - Build script 8. `RAG_IMPLEMENTATION_SUMMARY.md` - Implementation summary 9. `RAG_FILE_SUMMARY.md` - File summary 10. Updated `test/Makefile` - Added RAG test target ### Modified Files (7) 1. `include/MCP_Thread.h` - Added RAG tool handler member 2. `lib/MCP_Thread.cpp` - Added initialization/cleanup 3. `lib/ProxySQL_MCP_Server.cpp` - Registered RAG endpoint 4. `lib/AI_Features_Manager.cpp` - Added RAG schema 5. `include/GenAI_Thread.h` - Added RAG config variables 6. `lib/GenAI_Thread.cpp` - Added RAG config initialization 7. `scripts/mcp/README.md` - Updated documentation ## Usage To enable RAG functionality: ```sql -- Enable GenAI module SET genai.enabled = true; -- Enable RAG features SET genai.rag_enabled = true; -- Load configuration LOAD genai VARIABLES TO RUNTIME; ``` Then use the MCP tools via the `/mcp/rag` endpoint. ## Verification The implementation has been completed according to the v0 deliverables specified in the plan: ✓ SQLite schema initializer ✓ Source registry management ✓ Ingestion pipeline (framework) ✓ MCP server tools ✓ Unit/integration tests ✓ "Golden" examples The RAG subsystem is now ready for integration testing and can be extended with additional features in future versions.