Mai Development b9aba97086 feat(04-02): create semantic search with embedding-based retrieval ...

- Added sentence-transformers to requirements.txt for semantic embeddings
- Created src/memory/retrieval/ module with search capabilities
- Implemented SemanticSearch class with embedding generation and vector similarity
- Added SearchResult and SearchQuery dataclasses for structured search results
- Included hybrid search combining semantic and keyword matching
- Added conversation indexing for semantic search
- Followed lazy loading pattern for embedding model performance

Files created:
- src/memory/retrieval/__init__.py
- src/memory/retrieval/search_types.py
- src/memory/retrieval/semantic_search.py
- Updated src/memory/__init__.py with enhanced MemoryManager

Note: sentence-transformers installation requires proper venv setup in production

2026-01-27 23:22:50 -05:00

..

retrieval

feat(04-02): create semantic search with embedding-based retrieval

2026-01-27 23:22:50 -05:00

storage

feat(04-01): create memory module structure and SQLite manager

2026-01-27 22:50:02 -05:00

__init__.py

feat(04-02): create semantic search with embedding-based retrieval

2026-01-27 23:22:50 -05:00