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

Release history Release notifications | RSS feed

1.7.2

Jan 11, 2022

1.7.1.post3

Nov 30, 2021

1.7.1.post2

Jun 12, 2021

This version

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

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

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distributions

faiss_gpu-1.7.1.post1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (89.7 MB view details)

Uploaded Jun 11, 2021 CPython 3.9 manylinux: glibc 2.17+ x86-64

faiss_gpu-1.7.1.post1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (89.7 MB view details)

Uploaded Jun 11, 2021 CPython 3.8 manylinux: glibc 2.17+ x86-64

faiss_gpu-1.7.1.post1-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (89.7 MB view details)

Uploaded Jun 11, 2021 CPython 3.7m manylinux: glibc 2.17+ x86-64

faiss_gpu-1.7.1.post1-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (89.7 MB view details)

Uploaded Jun 11, 2021 CPython 3.6m manylinux: glibc 2.17+ x86-64

File details

Details for the file faiss_gpu-1.7.1.post1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

Download URL: faiss_gpu-1.7.1.post1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Upload date: Jun 11, 2021
Size: 89.7 MB
Tags: CPython 3.9, manylinux: glibc 2.17+ x86-64
Uploaded using Trusted Publishing? No
Uploaded via: twine/3.4.1 importlib_metadata/4.5.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.0 CPython/3.9.5

File hashes

Hashes for faiss_gpu-1.7.1.post1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm	Hash digest
SHA256	`e933dae0c83c99d4a6bf935404d4c035af11f5653b5d35609c9d761e8a59dfdd`
MD5	`85a46670a12273c7068569ebc734a25e`
BLAKE2b-256	`dc5d5eebf4828da2da551e833b38b1a375493581505f6ebcd36730a5e99b6b9d`

See more details on using hashes here.

File details

Details for the file faiss_gpu-1.7.1.post1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

Download URL: faiss_gpu-1.7.1.post1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Upload date: Jun 11, 2021
Size: 89.7 MB
Tags: CPython 3.8, manylinux: glibc 2.17+ x86-64
Uploaded using Trusted Publishing? No
Uploaded via: twine/3.4.1 importlib_metadata/4.5.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.0 CPython/3.8.10

File hashes

Hashes for faiss_gpu-1.7.1.post1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm	Hash digest
SHA256	`62a5e27a43b7947a013c9e4dee481b2fcc09f8c939a65cd7074e483d15a2218a`
MD5	`0e17f6ccfe305ae4ba8e840b2b549b6b`
BLAKE2b-256	`8049848ea3bcffd605ef9d75e542fd9c982a0b9c52c9066e24e5a2e8e1974057`

See more details on using hashes here.

File details

Details for the file faiss_gpu-1.7.1.post1-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

Download URL: faiss_gpu-1.7.1.post1-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Upload date: Jun 11, 2021
Size: 89.7 MB
Tags: CPython 3.7m, manylinux: glibc 2.17+ x86-64
Uploaded using Trusted Publishing? No
Uploaded via: twine/3.4.1 importlib_metadata/4.5.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.0 CPython/3.7.10

File hashes

Hashes for faiss_gpu-1.7.1.post1-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm	Hash digest
SHA256	`461d320132e0121b1607f3053bcd81cdb55542ba31b574f3abd0bc9c1563b74b`
MD5	`77586e0c9cc732e247b43e37c14cf965`
BLAKE2b-256	`23fb349d3df690ff80c8c74f15f9bb1004e16ff20d0a8427b14f035e9cd2f013`

See more details on using hashes here.

File details

Details for the file faiss_gpu-1.7.1.post1-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

Download URL: faiss_gpu-1.7.1.post1-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Upload date: Jun 11, 2021
Size: 89.7 MB
Tags: CPython 3.6m, manylinux: glibc 2.17+ x86-64
Uploaded using Trusted Publishing? No
Uploaded via: twine/3.4.1 importlib_metadata/4.5.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.0 CPython/3.6.13

File hashes

Hashes for faiss_gpu-1.7.1.post1-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm	Hash digest
SHA256	`9b8deadacc12f209b7eb0a5dd118c695144e847ee3edff9243f36ccc14818e5e`
MD5	`bf9591f27cd7c6a87c84f14d34af59fb`
BLAKE2b-256	`44915d7302c9a70c7a81329e352c604cdda1857eff23d155c6fe069adce3cf37`