community: add support for using GPUs with FastEmbedEmbeddings #29627
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… greatly increase speed and scalability when generating embeddings for a large amount of documents with a GPU
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| if importlib.metadata.version("fastembed") < MIN_VERSION: | ||
| if importlib.metadata.version(pkg_to_import) < MIN_VERSION: |
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Assuming fastembed and fastembed-gpu versions are kept in sync? (They appear on the same minor version now.)
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@ccurme it seems like it is perfectly synced:
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gpu: bool = Falsefield to theFastEmbedEmbeddingsclass which enables to use GPU (through ONNX CUDA provider) when generating embeddings with any fastembed model. It just requires the user to install a different dependency and we use a different provider when instantiatingfastembed.TextEmbeddingfastembed-gpuinstead offastembed, I made all the changes to the init function and docstrings to properly let the user know which dependency they should install depending on if they enabledgpuor notcf. fastembed docs about GPU for more details: https://qdrant.github.io/fastembed/examples/FastEmbed_GPU/
I did not added test because it would require access to a GPU in the testing environment