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An openFrameworks addon for Faiss - "efficient similarity search and clustering of dense vectors."
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README.md

This is under development currently so, your please post questions to the issues for now.

ofxFAISS

An openFrameworks addon for FAISS - "efficient similarity search and clustering of dense vectors."

More on the library, including tutorials and lots of great documentation here.

Features

Really fast approximate similarity search and clustering of dense vectors.

Getting Started

TL;DR

  • From the scripts/ directory ...
    • ./bootstrap.sh
  • From the example_cpu_Flat/ directory ...
    • make && make run

For more, including some help with macOS, see docs/GETTING_STARTED.md.

Troubleshooting

For more, see docs/TROUBLESHOOTING.md.

Documentation

API documentation can be found here.

Build Status

TODO

Compatibility

The stable branch of this repository is meant to be compatible with the openFrameworks stable branch, which corresponds to the latest official openFrameworks release.

The master branch of this repository is meant to be compatible with the openFrameworks master branch.

Some past openFrameworks releases are supported via tagged versions, but only stable and master branches are actively supported.

Versioning

This project uses Semantic Versioning, although strict adherence will only come into effect at version 1.0.0.

Licensing

See LICENSE.md.

Contributing

Pull Requests are always welcome, so if you make any improvements please feel free to float them back upstream :)

  1. Fork this repository.
  2. Create your feature branch (git checkout -b my-new-feature).
  3. Commit your changes (git commit -am 'Add some feature').
  4. Push to the branch (git push origin my-new-feature).
  5. Create new Pull Request.
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