FAISS
by Meta · open-source · Last verified 2026-04-24
FAISS (Facebook AI Similarity Search) is Meta's open-source library for efficient dense vector similarity search and clustering. It is the foundational library underlying many vector database products and supports GPU-accelerated indexing and search. FAISS is the standard benchmark reference for nearest-neighbor search performance.
https://github.com/facebookresearch/faiss ↗C
C—Below Average
Adoption: C+Quality: B+Freshness: ACitations: CEngagement: F
Specifications
- License
- Open Source
- Pricing
- open-source
- Capabilities
- Integrations
- Use Cases
- API Available
- No
- SDK Languages
- Tags
- vector-db, open-source, meta, gpu, nearest-neighbor, library
- Added
- 2026-04-24
- Completeness
- 60%
Index Score
44Adoption
50
Quality
70
Freshness
80
Citations
40
Engagement
0