David Snelling bba9a0c219 feat(src/brainyData, src/utils): enhance embedding efficiency with batch processing and initialize safeguards ... - Added batch embedding support with `defaultBatchEmbeddingFunction`, leveraging shared model instances for optimized performance. - Integrated `isInitializing` flag to prevent recursive initialization and ensure smooth concurrent operation handling during `BrainyData` initialization. - Pre-loaded Universal Sentence Encoder in `BrainyData` to prevent delays during embedding. - Introduced fallback mechanisms in embedding initialization for better error resiliency and model reusability. - Updated `addBatch` with support for batchSize and refactored text/vector processing logic for clearer separation and memory management. - Improved GPU and CPU backend selection in Universal Sentence Encoder for compatibility across environments. - Enhanced memory management by cleaning tensors after embedding operations. - Updated README with instructions for batch embedding, threading updates, and GPU/CPU optimizations.		2025-06-27 14:06:59 -07:00
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hnswIndex.ts	feat(src/brainyData, src/utils): enhance embedding efficiency with batch processing and initialize safeguards	2025-06-27 14:06:59 -07:00
hnswIndexOptimized.ts	Initial commit	2025-06-24 11:41:30 -07:00