Faiss is a library offering indexing methods and primitives for efficient vector similarity search, a core need in vector databases for AI applications.
Distinctive image features from scale-invariant keypoints.International Journal of Computer Vision, 60(2)
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2024 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
The Faiss library
Faiss is a library offering indexing methods and primitives for efficient vector similarity search, a core need in vector databases for AI applications.