langchain

08b9eaaa - community: improve FastEmbedEmbeddings support for ONNX execution provider (e.g. GPU) (#29645)

community: improve FastEmbedEmbeddings support for ONNX execution provider (e.g. GPU) (#29645) 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