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08b9eaaa6f
I made a change to how was implemented the support for GPU in `FastEmbedEmbeddings` to be more consistent with the existing implementation `langchain-qdrant` sparse embeddings implementation It is directly enabling to provide the list of ONNX execution providers: https://github.com/langchain-ai/langchain/blob/master/libs/partners/qdrant/langchain_qdrant/fastembed_sparse.py#L15 It is a bit less clear to a user that just wants to enable GPU, but gives more capabilities to work with other execution providers that are not the `CUDAExecutionProvider`, and is more future proof Sorry for the disturbance @ccurme > Nice to see you just moved to `uv`! It is so much nicer to run format/lint/test! No need to manually rerun the `poetry install` with all required extras now
🦜️🧑🤝🧑 LangChain Community
Quick Install
pip install langchain-community
What is it?
LangChain Community contains third-party integrations that implement the base interfaces defined in LangChain Core, making them ready-to-use in any LangChain application.
For full documentation see the API reference.
📕 Releases & Versioning
langchain-community is currently on version 0.0.x
All changes will be accompanied by a patch version increase.
💁 Contributing
As an open-source project in a rapidly developing field, we are extremely open to contributions, whether it be in the form of a new feature, improved infrastructure, or better documentation.
For detailed information on how to contribute, see the Contributing Guide.