A library for efficient similarity search and clustering of dense vectors.
This project has been archived.
The maintainers of this project have marked this project as archived. No new releases are expected.
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.
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distributions
Built Distributions
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file faiss_gpu-1.7.1.post2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.
File metadata
- Download URL: faiss_gpu-1.7.1.post2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
- Upload date:
- 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/4.61.1 CPython/3.9.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
1a3ea3424601d83dd71057fd367c9c0bb7abb8f5a512d9c7048c589127353e40
|
|
| MD5 |
50002c76e7fae2371fa7e038a63ed02b
|
|
| BLAKE2b-256 |
efa1f2a6ea5eca3d4abf4fcae813cf74c34aa1ea60cf4e63b9227f57abdba1c0
|
File details
Details for the file faiss_gpu-1.7.1.post2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.
File metadata
- Download URL: faiss_gpu-1.7.1.post2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
- Upload date:
- 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/4.61.1 CPython/3.8.10
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
d4bf17f9d3f65e48c740652170acb4f808b2597749ea085f33581c1722f33555
|
|
| MD5 |
7b66d21ae69c5896be0453711990c675
|
|
| BLAKE2b-256 |
eb723cc248d5e39560186833ba1672cab3b473a7206f14b1fac4a98207665165
|
File details
Details for the file faiss_gpu-1.7.1.post2-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.
File metadata
- Download URL: faiss_gpu-1.7.1.post2-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
- Upload date:
- 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/4.61.1 CPython/3.7.10
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
84dcd3d756303f0bdf5bf381cfd220ccc6b1a513504eef21c2e01260aaba9d2f
|
|
| MD5 |
304e148dc2b473d01a57f7f5c0c12773
|
|
| BLAKE2b-256 |
e620cce8f99dde167453ea108f35cd4bfffcc318a314aaf1bdfb167f6be2c989
|
File details
Details for the file faiss_gpu-1.7.1.post2-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.
File metadata
- Download URL: faiss_gpu-1.7.1.post2-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
- Upload date:
- 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/4.61.1 CPython/3.6.13
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
ef5145d8de93c96586503e9a2d3f3fdc85a66f699d767829228a84f1b5d2b263
|
|
| MD5 |
6e7022daf8015e55275c5c0897691481
|
|
| BLAKE2b-256 |
111259326bb3eefed5a7d111171e0a2a6190d176d986ad15eb3f8130a1446bd0
|
