@Vtrivedy10 argues Jev’s semantic matching beats dot-product similarity for RAG—as a direct metric on small data and as a reranker at scale.

A product-oriented tip on using Jev for RAG: trust its semantic matching more than dot-product similarity in almost all cases; use it as the direct similarity metric on small data and as a reranker on big data. Includes a diagram photo.