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Name: libfaiss | Distribution: openSUSE Tumbleweed |
Version: 1.10.0 | Vendor: openSUSE |
Release: 1.1 | Build date: Thu Apr 3 17:31:42 2025 |
Group: Unspecified | Build host: reproducible |
Size: 22843296 | Source RPM: python-faiss-1.10.0-1.1.src.rpm |
Packager: https://bugs.opensuse.org | |
Url: https://ai.meta.com/tools/faiss/ | |
Summary: faiss library |
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. Some of the most useful algorithms are implemented on the GPU. It is developed by Facebook AI Research.
MIT
* Thu Apr 03 2025 Christian Goll <cgoll@suse.com> - enable C_API * Tue Mar 18 2025 Christian Goll <cgoll@suse.com> - install softlink to libfaiss_python_callbacks.so in %{_libdir} * Mon Mar 03 2025 Christian Goll <cgoll@suse.com> - initial commit of faiss 1.10.0 which is a library that allows developers to quickly search for embeddings of multimedia documents that are similar to each other
/usr/lib64/libfaiss.so /usr/lib64/libfaiss_avx2.so /usr/lib64/libfaiss_avx512.so /usr/lib64/libfaiss_c.so
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Fabrice Bellet, Wed Jun 25 23:40:27 2025