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Hi, just sharing with my recent github project fast-ivf in which I implemented from scratch IVF (+PQ) index using purely numpy/numba libraries. I did it mostly for an educational purpose. I also implemented something which I called `CompressedFastIVF` index which trains auto shallow autoencoder using kmeans assignments to reduce the dimensionality of the source embeddings, which seems to be a nice alternative for PQ method, at least on my data.
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