b9aba97086
- 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
11 lines
178 B
Plaintext
11 lines
178 B
Plaintext
lmstudio>=1.0.1
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psutil>=6.1.0
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pydantic>=2.10
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pyyaml>=6.0
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gpu-tracker>=5.0.1
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bandit>=1.7.7
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semgrep>=1.99
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docker>=7.0.0
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sqlite-vec>=0.1.0
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numpy>=1.24.0
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sentence-transformers>=2.2.2 |