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| Name: python314-faiss | Distribution: openSUSE Tumbleweed |
| Version: 1.15.1 | Vendor: openSUSE |
| Release: 1.2 | Build date: Sun Oct 25 17:28:47 2026 |
| Group: Unspecified | Build host: reproducible |
| Size: 29921928 | Source RPM: python-faiss-1.15.1-1.2.src.rpm |
| Packager: https://bugs.opensuse.org | |
| Url: https://ai.meta.com/tools/faiss/ | |
| Summary: A library for efficient similarity search and clustering of dense vectors | |
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
* Sun Oct 25 2026 Dirk Müller <dmueller@suse.com>
- fix typos
* Sat Oct 24 2026 Martin Pluskal <mpluskal@suse.com>
- Update to 1.15.1:
* New RaBitQ quantization with FastScan and multi-bit support
* New EDEN and TurboQuant quantizers, SuperKMeans clustering
* New Metal GPU backend, RISC-V RVV and Arm SVE SIMD backends
* New IndexIVFFlatPanorama family and cuVS IVF-SQ backend
* Python type stubs, pip install support, wider C API coverage
* HNSW speedups, similarity mode and persistent locks
* Hardened index deserialization and many crash fixes
* Support Python 3.13 and 3.14, build against numpy 2
* Many more fixes and improvements; see upstream's release notes
for the full list
- Spec file cleanup (spec-cleaner); drop the redundant /usr/faiss
staging install, package the new per-level C API libraries
- Drop the obsolete libfaiss_python_callbacks.so symlink: the callbacks
library is static in 1.15.x, nothing ships the shared object, and the
non-idempotent %post broke installing both Python flavors together
* Wed Jun 25 2025 Steve Kowalik <steven.kowalik@suse.com>
- Use pyproject macros to build and install the Python module.
* 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
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