How to Install and Uninstall python3-faiss Package on Ubuntu 21.10 (Impish Indri)

Last updated: May 19,2024

1. Install "python3-faiss" package

Here is a brief guide to show you how to install python3-faiss on Ubuntu 21.10 (Impish Indri)


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                python3-faiss
            
                    
    
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2. Uninstall "python3-faiss" package

In this section, we are going to explain the necessary steps to uninstall python3-faiss on Ubuntu 21.10 (Impish Indri):


    
        
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                sudo apt remove
            
                        
                python3-faiss
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the python3-faiss package on Ubuntu 21.10 (Impish Indri)

Package: python3-faiss
Architecture: amd64
Version: 1.7.0-1
Priority: optional
Section: universe/science
Source: faiss
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Deep Learning Team
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 5328
Depends: python3 (<< 3.10), python3 (>= 3.9~), python3-numpy, python3:any, libblas3 | libblas.so.3 (>= 0.5.2), libc6 (>= 2.33), libgcc-s1 (>= 3.4), libgomp1 (>= 6), liblapack3 | liblapack.so.3, libstdc++6 (>= 9)
Recommends: libopenblas0 | libblis3 | libmkl-rt | libblas.so.3
Filename: pool/universe/f/faiss/python3-faiss_1.7.0-1_amd64.deb
Size: 1030480
MD5sum: b79f2db22c5bf876506a83b7a647a1cb
SHA1: 0eea8b526f1eab7c80cd397e3c8419703f063ad3
SHA256: a7a11004f51adf35ba094f975bbd091c758d9b86689beaa488317814e4904ae7
SHA512: 2121d1f3162cb7e9ce1667940ef258b16bb8ad18113c6d190cb055653f6b71e7c710a3c88d56103e7a512bf75312d4a90a8457300030e1c292d405941dff652a
Homepage: https://github.com/facebookresearch/faiss
Description-en: 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.
Description-md5: 8d62eaad2bb74d8755df8db970e5651d