loongson/pypi/: faiss-cpu-1.7.1.post2 metadata and description

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A library for efficient similarity search and clustering of dense vectors.

author Kota Yamaguchi
author_email KotaYamaguchi1984@gmail.com
keywords search nearest neighbors
license MIT
platform
  • UNKNOWN

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faiss-cpu-1.7.1.post2.tar.gz
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79 KB
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Source
faiss_cpu-1.7.1.post2-cp36-cp36m-linux_loongarch64.whl
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3 MB
Type
Python Wheel
Python
3.6

Faiss is a library for efficient similarity search and clustering of dense vectors. It contains algorithms that search in sets of vectors of any size, up to ones that possibly do not fit in RAM. It also contains supporting code for evaluation and parameter tuning. Faiss is written in C++ with complete wrappers for Python/numpy. It is developed by Facebook AI Research.