Vector db phase3 #284
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Vector db phase3 #284
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…xtraction This commit introduces vector database integration for smart context extraction, improving the accuracy and relevance of AI responses. - Implements with vector search capabilities for semantic context retrieval. - Integrates for managing embedding phases (immediate, on-demand, background, bulk). - Introduces and for vector database operations. - Enhances user message processing with context from vector search results. - Adds configuration options for enabling/disabling vector search and fallback to keyword-based search.
- Improve context extraction by implementing fallback to keyword search when vector search is unavailable or returns no results. - Enhance semantic similarity calculation with a fallback to basic text similarity when the vector DB is unavailable. - Implement file deletion and rename handling to maintain vector database accuracy. - Add file type checking to ensure only supported files are processed for embeddings.
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