faiss-gpu

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

Project description

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.

Project details

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1.7.2

Jan 11, 2022

1.7.1.post3

Nov 30, 2021

1.7.1.post2

Jun 12, 2021

1.7.1.post1

Jun 11, 2021

1.7.1

May 30, 2021

1.7.0

Jan 30, 2021

1.6.5

Nov 26, 2020

This version

1.6.4.post2

Nov 5, 2020

1.6.4

Oct 24, 2020

1.6.3

Apr 2, 2020

1.6.1

Dec 10, 2019

1.6.0

Sep 24, 2019

1.5.3

Jul 24, 2019

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