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Faiss: Difference between revisions
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[https://github.com/facebookresearch/faiss/wiki 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 (versions 2 and 3). Some of the most useful algorithms are implemented on | [https://github.com/facebookresearch/faiss/wiki 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 (versions 2 and 3). Some of the most useful algorithms are implemented on GPU. It is developed primarily at [https://research.facebook.com/ Meta AI Research] with help from external contributors. | ||
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2. Import Faiss | 2. Import Faiss. | ||
{{Command|python -c "import faiss"}} | {{Command|python -c "import faiss"}} | ||
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==== Available Python packages ==== <!--T:7--> | ==== Available Python packages ==== <!--T:7--> | ||
Other Python packages depend on <tt>faiss-cpu</tt> or <tt>faiss-gpu</tt> bindings in order to be installed. | Other Python packages depend on <tt>faiss-cpu</tt> or <tt>faiss-gpu</tt> bindings in order to be installed. | ||
faiss module provides: | The <code>faiss</code> module provides: | ||
* <code>faiss</code> | * <code>faiss</code> | ||
* <code>faiss-gpu</code> | * <code>faiss-gpu</code> | ||