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