deb_control_files:
- control
- md5sums
- postinst
- prerm
deb_fields:
Architecture: arm64
Depends: python3 (<< 3.13), python3 (>= 3.12~), python3-numpy (>= 1:1.25.0), python3-numpy-abi9,
python3-packaging, python3:any, libblas3 | libblas.so.3, libc6 (>= 2.38), libgcc-s1
(>= 3.0), libgomp1 (>= 6), liblapack3 | liblapack.so.3, libstdc++6 (>= 14)
Description: |-
Python 3 module 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.
.
This package contains the CPU-only version of the Python interface.
Homepage: https://github.com/facebookresearch/faiss
Installed-Size: '10312'
Maintainer: Debian Deep Learning Team <debian-ai@lists.debian.org>
Package: python3-faiss
Priority: optional
Section: python
Source: faiss
Version: 1.9.0-2
srcpkg_name: faiss
srcpkg_version: 1.9.0-2