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## Why are these changes needed? This PR adds support for configurable embedding functions in ChromaDBVectorMemory, addressing the need for users to customize how embeddings are generated for vector similarity search. Currently, ChromaDB memory is limited to default embedding functions, which restricts flexibility for different use cases that may require specific embedding models or custom embedding logic. The implementation allows users to: - Use different SentenceTransformer models for domain-specific embeddings - Integrate with OpenAI's embedding API for consistent embedding generation - Define custom embedding functions for specialized requirements - Maintain backward compatibility with existing default behavior ## Related issue number Closes #6267 ## Checks - [x] I've included any doc changes needed for <https://microsoft.github.io/autogen/>. See <https://github.com/microsoft/autogen/blob/main/CONTRIBUTING.md> to build and test documentation locally. - [x] I've added tests corresponding to the changes introduced in this PR. - [x] I've made sure all auto checks have passed. --------- Co-authored-by: Victor Dibia <victordibia@microsoft.com> Co-authored-by: Victor Dibia <victor.dibia@gmail.com>
AutoGen Extensions
AutoGen is designed to be extensible. The autogen-ext package contains many different component implementations maintained by the AutoGen project. However, we strongly encourage others to build their own components and publish them as part of the ecosytem.