FAISS
Efficient similarity search library by Meta for dense vector clustering and retrieval.
About
FAISS, Facebook AI Similarity Search by Meta, is a library for efficient similarity search and clustering of dense vectors, with algorithms that scale from small sets to billions of vectors that may not fit in RAM. Written in C++ with full Python and NumPy wrappers, it implements many index types and quantization methods and runs key algorithms on the GPU. Released under the MIT license.
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Details
- Category
- Vector Databases & Embeddings
- Price
- Free
- Platform
- Local/Desktop
- Difficulty
- Intermediate (3/5)
- License
- MIT
- Added
- Apr 3, 2026
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