How to Install and Uninstall python3-faiss Package on Ubuntu 22.04 LTS (Jammy Jellyfish)

Last updated: November 22,2024

You can also install and uninstall the python3-faiss on the following distributions in the same way, as they are all based on the Ubuntu system

Kubuntu 22.04 LTS
Lubuntu 22.04 LTS
Xubuntu 22.04 LTS
Ubuntu MATE 22.04 LTS
Ubuntu Studio 22.04 LTS
Pop!_OS 22.04 LTS
Zorin OS 16 / Zorin OS 17
Ubuntu Budgie 22.04

1. Install "python3-faiss" package

In this section, we are going to explain the necessary steps to install python3-faiss on Ubuntu 22.04 LTS (Jammy Jellyfish)


    
        
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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

Please follow the guidance below to uninstall python3-faiss on Ubuntu 22.04 LTS (Jammy Jellyfish):


    
        
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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 22.04 LTS (Jammy Jellyfish)

Package: python3-faiss
Architecture: amd64
Version: 1.7.2-5
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: 6202
Depends: python3 (<< 3.11), python3 (>= 3.10~), python3-numpy (>= 1:1.20.0), python3-numpy-abi9, python3:any, libblas3 | libblas.so.3 (>= 0.5.2), libc6 (>= 2.34), libgcc-s1 (>= 3.4), libgomp1 (>= 6), liblapack3 | liblapack.so.3, libstdc++6 (>= 11)
Filename: pool/universe/f/faiss/python3-faiss_1.7.2-5_amd64.deb
Size: 1414782
MD5sum: 9981466d8e74d7550c1e914b8c849e1f
SHA1: 08d1d2ebadd49de9d97938eb4f0fea0ca26c955c
SHA256: 5fd95d9dc714493a2b45b58897976feb752fc164264a033eb433900c436b332e
SHA512: ed71d51600e673fc7186a3ce040b3738044556651fca092e1750a81b108077f816bb88d07b709c2bf0cdc929c8bdf4b18b9c8640cb75700c0778ae6d91fadb7a
Homepage: https://github.com/facebookresearch/faiss
Description: Python 3 module for efficient similarity search and clustering of dense vectors
Description-md5: 062b5a05cf9cbc3e8d534f65c5369b11