This is under development currently so, your please post questions to the issues for now.
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.
Really fast approximate similarity search and clustering of dense vectors.
- From the
- From the
make && make run
For more, including some help with macOS, see docs/GETTING_STARTED.md.
For more, see docs/TROUBLESHOOTING.md.
API documentation can be found here.
stable branch of this repository is meant to be compatible with the openFrameworks stable branch, which corresponds to the latest official openFrameworks release.
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
master branches are actively supported.
This project uses Semantic Versioning, although strict adherence will only come into effect at version 1.0.0.
Pull Requests are always welcome, so if you make any improvements please feel free to float them back upstream :)
- Fork this repository.
- Create your feature branch (
git checkout -b my-new-feature).
- Commit your changes (
git commit -am 'Add some feature').
- Push to the branch (
git push origin my-new-feature).
- Create new Pull Request.