Reranking Pinecone results with plain-language criteria

Rerankers are hard to steer. Saying precisely what should and should not come back usually means labels or a fine-tune. The alternative shown here refactors the problem into distinct criteria that JEV evaluates one at a time.

It is a vendor walkthrough, so treat it as a recipe rather than a measured comparison — no benchmark is published.

Reported by the creator on X.

Summary written by this site

Use @typesafeai's Jev model with Pinecone to rerank results with natural language criteria! Usually with rerankers, it's hard to cleanly specify what should and shouldn't be returned — Pinecone · Original post