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- Modified MFModel to support both OpenAI and Hugging Face embeddings. - Introduced parameter to toggle between embedding sources. - Refactored embedding handling logic for better clarity and flexibility. - Updated initialization to allow specifying custom embedding model names.
… dimensions and optional Hugging Face embeddings - Added parameters 'use_openai_embeddings', 'embedding_model_name', and 'text_dim' to MatrixFactorizationRouter. - Modified initialization to dynamically set 'text_dim' based on the selected embedding model. - Adjusted the router to handle both OpenAI and Hugging Face embeddings seamlessly. - Ensured compatibility with different embedding models by determining 'text_dim' at runtime. - Updated documentation and comments for clarity. This enhancement allows users to choose between OpenAI and Hugging Face embeddings in the MatrixFactorizationRouter, providing greater flexibility and eliminating the hard-coded dependency on OpenAI's embedding dimension.
…proved flexibility in handling Hugging Face authentication. Ensures that the Hugging Face token is properly utilized when initializing routers, supporting local embeddings without external API dependencies.
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added public get_routed_model method |
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