Project: faiss-cpu

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

Project Details

Latest version
1.7.4
Home Page
https://github.com/kyamagu/faiss-wheels
PyPI Page
https://pypi.org/project/faiss-cpu/

Project Popularity

PageRank
0.002711910845835985
Number of downloads
1763621

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.