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- Updated embedding_manager.py to include backend parameter in model configuration. - Modified model_manager.py to utilize cache_name for ONNX models. - Refactored hybrid_search.py to improve embedder initialization based on backend type. - Added backend column to vector_store.py for better model configuration management. - Implemented migration for existing database to include backend information. - Enhanced API settings implementation with comprehensive provider and endpoint management. - Introduced LiteLLM integration guide detailing configuration and usage. - Added examples for LiteLLM usage in TypeScript.
2.3 KiB
2.3 KiB