Skip to main content

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


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-1.7.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (85.5 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64

faiss_gpu-1.7.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (85.5 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ x86-64

faiss_gpu-1.7.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (85.5 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ x86-64

faiss_gpu-1.7.2-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (85.5 MB view details)

Uploaded CPython 3.7m manylinux: glibc 2.17+ x86-64

faiss_gpu-1.7.2-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (85.5 MB view details)

Uploaded CPython 3.6m manylinux: glibc 2.17+ x86-64

File details

Details for the file faiss_gpu-1.7.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for faiss_gpu-1.7.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 c98abc1aac06cb4cb94de223b3186bd4a60d15fd3cae42271604168abc081ca5
MD5 732273236b170d21eb5012b061148ab4
BLAKE2b-256 a871623896382d90a9a99adf3438aa2c575535ba37804be9701d66f3337afd83

See more details on using hashes here.

File details

Details for the file faiss_gpu-1.7.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for faiss_gpu-1.7.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 3ca9bfa2fda868f438a2f05c1d5aed53021bfaa55b25fd3ae666d2da201f3caf
MD5 81e1596386ec58706982e1de76aa194e
BLAKE2b-256 b2109041b22c4799440d3573af67053496b72d1b507c3f27900197ae00bf8d8a

See more details on using hashes here.

File details

Details for the file faiss_gpu-1.7.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for faiss_gpu-1.7.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 e85a6bc975b2f233eb056584f33bbce8613c453c9024c099052a423eebabee23
MD5 0ce7e66ffb861023f785acb2ca271d5c
BLAKE2b-256 ae34c246a3d5c8090cfcc1082a4d5b5d7e0fd56af44e9329c1750ab780930dc5

See more details on using hashes here.

File details

Details for the file faiss_gpu-1.7.2-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for faiss_gpu-1.7.2-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 040a413be699077931b781e470468c6b5084342c5d5773ce8d916f04b25d8c9c
MD5 b33eb7c0863686b23425d855af5ff739
BLAKE2b-256 44cfc26e522517c3bdd0899309f9d90c8c6c1654e059245ff0ca6a6140b550d5

See more details on using hashes here.

File details

Details for the file faiss_gpu-1.7.2-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for faiss_gpu-1.7.2-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 38796433b2fe43f3a602be18668969af615a3a898e897366e6997b409b0deeab
MD5 e0ad01378b83233cb7040c3224f141c8
BLAKE2b-256 00e70f1eab2ee3aa91dd7d16fcd6d24e26995a0b2b392673d061691068c33167

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page