Faiss
Faiss is a library for efficient similarity search and clustering of dense vectors.
About
Faiss is a library designed for performing similarity search and clustering of dense vectors. It supports algorithms that can handle large sets of vectors, even those that may not fit in RAM. Written in C++ with Python wrappers, Faiss allows for efficient nearest neighbor searches and can return multiple nearest neighbors simultaneously. It also offers features like batch processing, trade-offs between precision and speed, and the ability to store indices on disk.
Open Source Health
- Stars
- 40,896
- Forks
- 4,522
- License
- MIT
- Last commit
- 26 days ago
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