faiss-cpu

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

These details have not been verified by PyPI

Project links

Homepage

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

These details have not been verified by PyPI

Project links

Homepage

Release history Release notifications | RSS feed

1.9.0

Oct 8, 2024

1.8.0.post1

Jun 24, 2024

1.8.0

Mar 1, 2024

1.7.4

Apr 24, 2023

1.7.3

Nov 17, 2022

This version

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 28, 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 17, 2019

Download files

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

Source Distribution

faiss-cpu-1.7.2.tar.gz (42.8 kB view details)

Uploaded Jan 11, 2022 Source

Built Distributions

faiss_cpu-1.7.2-cp310-cp310-win_amd64.whl (9.9 MB view details)

Uploaded Jan 11, 2022 CPython 3.10 Windows x86-64

faiss_cpu-1.7.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (8.6 MB view details)

Uploaded Jan 11, 2022 CPython 3.10 manylinux: glibc 2.17+ x86-64

faiss_cpu-1.7.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (2.6 MB view details)

Uploaded Jan 11, 2022 CPython 3.10 manylinux: glibc 2.17+ ARM64

faiss_cpu-1.7.2-cp310-cp310-macosx_11_0_arm64.whl (1.9 MB view details)

Uploaded Jan 11, 2022 CPython 3.10 macOS 11.0+ ARM64

faiss_cpu-1.7.2-cp310-cp310-macosx_10_9_x86_64.whl (2.2 MB view details)

Uploaded Jan 11, 2022 CPython 3.10 macOS 10.9+ x86-64

faiss_cpu-1.7.2-cp39-cp39-win_amd64.whl (9.9 MB view details)

Uploaded Jan 11, 2022 CPython 3.9 Windows x86-64

faiss_cpu-1.7.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (8.6 MB view details)

Uploaded Jan 11, 2022 CPython 3.9 manylinux: glibc 2.17+ x86-64

faiss_cpu-1.7.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (2.6 MB view details)

Uploaded Jan 11, 2022 CPython 3.9 manylinux: glibc 2.17+ ARM64

faiss_cpu-1.7.2-cp39-cp39-macosx_11_0_arm64.whl (1.9 MB view details)

Uploaded Jan 11, 2022 CPython 3.9 macOS 11.0+ ARM64

faiss_cpu-1.7.2-cp39-cp39-macosx_10_9_x86_64.whl (2.2 MB view details)

Uploaded Jan 11, 2022 CPython 3.9 macOS 10.9+ x86-64

faiss_cpu-1.7.2-cp38-cp38-win_amd64.whl (9.9 MB view details)

Uploaded Jan 11, 2022 CPython 3.8 Windows x86-64

faiss_cpu-1.7.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (8.6 MB view details)

Uploaded Jan 11, 2022 CPython 3.8 manylinux: glibc 2.17+ x86-64

faiss_cpu-1.7.2-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (2.6 MB view details)

Uploaded Jan 11, 2022 CPython 3.8 manylinux: glibc 2.17+ ARM64

faiss_cpu-1.7.2-cp38-cp38-macosx_11_0_arm64.whl (1.9 MB view details)

Uploaded Jan 11, 2022 CPython 3.8 macOS 11.0+ ARM64

faiss_cpu-1.7.2-cp38-cp38-macosx_10_9_x86_64.whl (2.2 MB view details)

Uploaded Jan 11, 2022 CPython 3.8 macOS 10.9+ x86-64

faiss_cpu-1.7.2-cp37-cp37m-win_amd64.whl (10.0 MB view details)

Uploaded Jan 11, 2022 CPython 3.7m Windows x86-64

faiss_cpu-1.7.2-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (8.6 MB view details)

Uploaded Jan 11, 2022 CPython 3.7m manylinux: glibc 2.17+ x86-64

faiss_cpu-1.7.2-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (2.6 MB view details)

Uploaded Jan 11, 2022 CPython 3.7m manylinux: glibc 2.17+ ARM64

faiss_cpu-1.7.2-cp37-cp37m-macosx_10_9_x86_64.whl (2.2 MB view details)

Uploaded Jan 11, 2022 CPython 3.7m macOS 10.9+ x86-64

faiss_cpu-1.7.2-cp36-cp36m-win_amd64.whl (10.2 MB view details)

Uploaded Jan 11, 2022 CPython 3.6m Windows x86-64

faiss_cpu-1.7.2-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (8.6 MB view details)

Uploaded Jan 11, 2022 CPython 3.6m manylinux: glibc 2.17+ x86-64

faiss_cpu-1.7.2-cp36-cp36m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (2.6 MB view details)

Uploaded Jan 11, 2022 CPython 3.6m manylinux: glibc 2.17+ ARM64

faiss_cpu-1.7.2-cp36-cp36m-macosx_10_9_x86_64.whl (2.2 MB view details)

Uploaded Jan 11, 2022 CPython 3.6m macOS 10.9+ x86-64

File details

Details for the file faiss-cpu-1.7.2.tar.gz.

File metadata

Download URL: faiss-cpu-1.7.2.tar.gz
Upload date: Jan 11, 2022
Size: 42.8 kB
Tags: Source
Uploaded using Trusted Publishing? No
Uploaded via: twine/3.7.1 importlib_metadata/4.10.0 pkginfo/1.8.2 requests/2.27.1 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.9

File hashes

Hashes for faiss-cpu-1.7.2.tar.gz
Algorithm	Hash digest
SHA256	`f7ea89de997f55764e3710afaf0a457b2529252f99ee63510d4d9348d5b419dd`
MD5	`d09f9773de92c8582d7280d82b5aab20`
BLAKE2b-256	`4da3d1c4f3fdc46d1b1e140235d93fb0c3d03f1448c447d6d65c746e2d01be62`

Algorithm	Hash digest
SHA256	`0c486f20603a552e42ba8c7aa8d2cfbbc4e850aa258fb87aacd8a841fa61bbae`
MD5	`cc222e95a4f3697b639060e3c6cf3d64`
BLAKE2b-256	`2b3b66512f84ecbd47f58855d9584ab730d7db2a5d3f9c6086b013c9e9358d4c`

Algorithm	Hash digest
SHA256	`e2998a37a46c6ffb6f79ac7dcbe8ab5959ff8c343766e2eaf6cf98d057913fe0`
MD5	`d362f7b7764db8cafc6bb522dd603343`
BLAKE2b-256	`de638fcdda721c342d361893a3246e08fa71465c35f60a3b1c8586bf591c8bb0`

Algorithm	Hash digest
SHA256	`437cb28a1f693ec304f572cdd306e4a79fca7d193ded6a183b74166a51d2fa8c`
MD5	`06d32f72307b4828dcfbece9c6a832ee`
BLAKE2b-256	`eb857aaa349b76d5a2027f245ec754f8a9251d803208e038f7292bfe54000196`

Algorithm	Hash digest
SHA256	`c4c80080a07babb78a1570eb2a8f22d782a958bd02c7a8e2e7d0668d445239c8`
MD5	`7726928ff685935d34afac3b04267df5`
BLAKE2b-256	`74e93f2422cd03333a24e3afdeb7374ee0f3d835a2e20cd441d393eed92d9100`

Algorithm	Hash digest
SHA256	`b7461f989d757917a3e6dc81eb171d0b563eb98d23ebaf7fc6684d0093ba267e`
MD5	`97597ed995704833f4d2a29ee8da7323`
BLAKE2b-256	`5329bec6e5fafcc3a9f7c5e3c1f7930f175bfd4a62bbc5955c8ba042fba15197`

Algorithm	Hash digest
SHA256	`9492c98990b1184de0edf5232e5ab8c2a1ceebc54d0fc30e3fac9d75a4914985`
MD5	`a1925d965b8c53959de493e55d8a10bc`
BLAKE2b-256	`9b862937a7ac2537291c0b2bec2137e78c033d6137aaaad80db795c80695cfbf`

Algorithm	Hash digest
SHA256	`a8a55bbd52c74de741df48732895c77baa3230fd9c7a01647ff420807b5e2273`
MD5	`a030947407ce294060c4da0ece7525ed`
BLAKE2b-256	`48a9805e6d71c3e19468be75c06c6c9651f751c05dff3b693f13906eed915f9f`

Algorithm	Hash digest
SHA256	`15b77e3aa14544c0f2189c9cde7aa4e876586bd0c0d1c1b89b52a954d6752d2a`
MD5	`67bdfff97634752207a3013c60f16adf`
BLAKE2b-256	`865b4a585614cf0e49f24cace2ce0a651e0c9cce69a43a3aba45696d85f85068`

Algorithm	Hash digest
SHA256	`53ff9b0ea102697c043620b95438fea70ecb875f8652fb9445a4fb01d7d86a0d`
MD5	`c4b08e82cffe05b1ede53e6bfe182dd9`
BLAKE2b-256	`7b64c83f4afc12abd1dd4b4ffe5cdf20fb33569fab34b21b23b8a272993a3ade`

Algorithm	Hash digest
SHA256	`3ef5cceaebb10015956242beb7cd144097d9b351bdf7d266e940d97a4d00b6d8`
MD5	`9439bf65bf67bc3b5c1f5feee54a58f0`
BLAKE2b-256	`2a498d30d1e084e4821cfdc77e00538d1ac2930a229e942782d7f22c3b4f14fd`

Algorithm	Hash digest
SHA256	`ea2ebf539bddb4a0ef3fa3aedabe2a0715a5009bb200e7b55faab81732a69b96`
MD5	`6613225c861fbc07e04b828553ad3831`
BLAKE2b-256	`a4ec2ede26166405ef15d1bf2202591416364fbcd159b53c7213fbe4e8851cba`

Algorithm	Hash digest
SHA256	`f98215a3c29e905e63fa5890e78c91e03f59d114d2f474d66c1105a78b140674`
MD5	`6bba0e9e48111637d32b289942b8f15e`
BLAKE2b-256	`07c9870dbb567c1e21ab0856c28df3a5a6cc85edbedebb8b701b0eed5fec265c`

Algorithm	Hash digest
SHA256	`210b8f8f1d217488a66c95746817292e97d5e234dbd5e00a1d24b7757afcb48c`
MD5	`3cc0e5a135736810d08b2fb9dc29fa65`
BLAKE2b-256	`71a68e42367243b4e827e2b429985aa142fda900735d4845dc2dc1b37bdb19d6`

Algorithm	Hash digest
SHA256	`61e3956fb88ee8a06651159a85d650bfc00376a909581ab998bbcf976b71cdf9`
MD5	`9dea101fcc8947cf4ffc44ba7981683d`
BLAKE2b-256	`0788174808adfea49d711707381d3a3a82efa8262338e6e2b2b2fece6848eaf1`

Algorithm	Hash digest
SHA256	`9bb786e0a53b5ecb3a124706e54227ee4f4c8a7adcf026258ac56fbf9c2d9431`
MD5	`382762dfcd2772770b56c092bbefa0cf`
BLAKE2b-256	`a81abdec57e1f15d838be946c603c7751a4cbcc221399d4641c3ea0665fe8a57`

Algorithm	Hash digest
SHA256	`4e6274a5691c003a9d6548de3463ffa81bb325b5bd22240ab6f4057e6e12aad1`
MD5	`f8b1cb84797b8683213a002fe1fba741`
BLAKE2b-256	`8cb8989e741ac0169c539f475309f5ae37cb72de1d23a9eac9a568e6256bb25f`

Algorithm	Hash digest
SHA256	`9ced552b3c6fa2c12437aa8d050489e729bb27277608345846e43ebf37d0a147`
MD5	`39f4f6468656abe530fab5845913eabe`
BLAKE2b-256	`1c7eb4a64a3216eb7471fd179781a9d60bfa95f311bdafb3752802bc6429d3f5`

Algorithm	Hash digest
SHA256	`6c08c3a88d82d6e3cfa9c41d81e6ec2982476edb2f53cbd62f2122e0daca4205`
MD5	`584c3c9c6aead2ac37a5e988e8f24efd`
BLAKE2b-256	`cfabf950d3d3f8767872d5abf6a041f2c5426d93a7d8ea58bf25a3f268d8a448`

Algorithm	Hash digest
SHA256	`811ce60c52c9964477f4cf99e67a75292d7cbaf3c952b1fb2bfca5ab1d2e6b0c`
MD5	`f46849d806eb31738e7927c53fc5c97e`
BLAKE2b-256	`129abfc5c9f1a7353813fb26f3d93d7341b811b28475f11a30b0af337e3d0932`

Algorithm	Hash digest
SHA256	`b61fcc21de14c2a9abadb1798c108e489b5e17a2ace6b294f799cf233ac415b5`
MD5	`5c67db330e989ee98cb7d4ab406d69b3`
BLAKE2b-256	`157b5a4b2a1675ecccc3cfb9d0dcd849482fb8c2f01ed27323dacc48ce028eb9`

faiss-cpu 1.7.2

Navigation

Verified details

Maintainers

Unverified details

Project links

Meta

Classifiers

Project description

Project details

Verified details

Maintainers

Unverified details

Project links

Meta

Classifiers

Release history Release notifications | RSS feed

Download files

Source Distribution

Built Distributions

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

Algorithm	Hash digest
SHA256	`e207b8d30017bc7148d7dd24cf38b3228fc2f979c6ba1f86cf2fbe7d1bb3f5a0`
MD5	`29fd286975294d0832a200ccae88440a`
BLAKE2b-256	`322d9d485e2f5ffb375ebc82ff8f746f052905133278a2bc59d330c27c6a04d6`

Algorithm	Hash digest
SHA256	`025fae41492ca399e9c59dcc4515d29768b74b9cd43b006dbfa9b82c623f8c8a`
MD5	`14ea7b6b492cd2b62fea96a7a094f010`
BLAKE2b-256	`38b2204e316b868226433c99e99fb98462b772c580890f3bcb6eb70d05638e4f`

Algorithm	Hash digest
SHA256	`12e20c60fcfe3e479cd17b2d80b448ec979b0513f6d2ff1a9815a0783d2e727f`
MD5	`4f7b5c5c852dec4ce85c38df08e510b0`
BLAKE2b-256	`022df3328053f6aeb6e5a9f1bd1690a3910e86be237105c5f1929bfeaf6f86c1`