*NEW: there is now a Facebook public discussion group for Faiss users at https://www.facebook.com/groups/faissusers/*
*UPDATE: As of July 30 2017, the license on Faiss was relaxed to BSD from CC-BY-NC. Read LICENSE for details.*
*UPDATE: As of July 30 2017, the license on Faiss was relaxed to BSD from CC-BY-NC. Read LICENSE for details.*
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](https://research.fb.com/category/facebook-ai-research-fair/).
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](https://research.fb.com/category/facebook-ai-research-fair/).
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@@ -58,6 +60,8 @@ Reference to cite when you use Faiss in a research paper:
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@@ -58,6 +60,8 @@ Reference to cite when you use Faiss in a research paper:
## Join the Faiss community
## Join the Faiss community
For public discussion of Faiss or for questions, there is a Facebook public discussion group at https://www.facebook.com/groups/faissusers/
We monitor the [issues page](http://github.com/facebookresearch/faiss/issues) of the repository. You can report bugs, ask questions, etc.
We monitor the [issues page](http://github.com/facebookresearch/faiss/issues) of the repository. You can report bugs, ask questions, etc.
