1, supports two similar calculation method: L2 distance (i.e., Euclidean distance) and the dot (normalized dot product i.e. cosine similarity);. 2, according to ...
DOWNLOAD: https://byltly.com/2fbrix
DOWNLOAD: https://byltly.com/2fbrix
faiss-cosine-similarity
May 28, 2021 — Faiss is a library for efficient similarity search and clustering of dense vectors. ... It also supports cosine similarity, since this is a dot product on .... The closer the cosine similarity of a vector is to 1, the more similar that word is to our query, which was the vector for “science”. There are some differences in the .... ... I am newbie, please could you tell how i can i do it in code? (https://github.com/facebookresearch/faiss/wiki/FAQ#how-can-i-index-vectors-for-cosine-distance). 939c2ea5af