Metadata-Version: 2.1
Name: faiss-cpu
Version: 1.6.3
Summary: A library for efficient similarity search and clustering of dense vectors.
Home-page: https://github.com/kyamagu/faiss-wheels
Author: Kota Yamaguchi
Author-email: KotaYamaguchi1984@gmail.com
License: MIT
Keywords: search nearest neighbors
Platform: UNKNOWN
Requires-Dist: numpy


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.


