Quick reference

• The official faiss docker image.

• Maintained by: openEuler CloudNative SIG.

• Where to get help: openEuler CloudNative SIG, openEuler.

Faiss | openEuler

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 primarily at Meta's Fundamental AI Research group.

Learn more on Faiss Documentation.

Supported tags and respective Dockerfile links

The tag of each faiss docker image is consist of the version of faiss and the version of basic image. The details are as follows

Tags	Currently	Architectures
1.14.1-oe2403sp3	faiss 1.14.1 on openEuler 24.03-lts-sp3	amd64, arm64

Usage

In this usage, users can select the corresponding {Tag} and container startup options based on their requirements.

• Pull the openeuler/faiss image from docker

  docker pull openeuler/faiss:{Tag}
  

• Start a faiss container

  docker run -it --name my-faiss openeuler/faiss:{Tag}
  

• Container startup options

  Option	Description
  --name my-faiss	Names the container my-faiss.
  -it	Starts the container in interactive mode with a terminal (bash).
  openeuler/faiss:{Tag}	Specifies the Docker image to run, replace {Tag} with the specific version or tag of the openeuler/faiss image you want to use.

• Verify faiss installation

  docker run --rm openeuler/faiss:{Tag} -c "import faiss; print(faiss.__version__)"
  

• To get an interactive shell

  docker exec -it my-faiss /bin/bash
  

Question and answering

If you have any questions or want to use some special features, please submit an issue or a pull request on openeuler-docker-images.