docs/integrations/vectorstores/faiss/

[giscus[bot]]

docs/integrations/vectorstores/faiss/

Facebook AI Similarity Search (FAISS) is a library for efficient similarity search and clustering of dense vectors. It contains algorithms that search in sets of vectors of any size, up to ones that possibly do not fit in RAM. It also includes supporting code for evaluation and parameter tuning.

https://python.langchain.com/docs/integrations/vectorstores/faiss/

[samuelnihoul]

How to work with database providers. E.g. PostgreSQL.

[ifriske]

Is it possible to see similarity scores when using vectore_store.as_retriever?

[syntaxtrash]

Nope. The closest thing is using .similarity_search_with_score.
https://python.langchain.com/docs/integrations/vectorstores/faiss/#similarity-search-with-score