Pinecone uses Jev for natural-language criteria reranking
Pinecone demoed reranking 200 candidates with Jev by splitting the task into binary criteria, returning results in about a second versus 4.2 to 6.8 seconds for Claude Opus 5, roughly 5x faster and 43x cheaper.
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 in results. Jev resolves this by refactoring the problem into evaluating against distinct binary criteria, which pairs great with Pinecone retrieval! In this demo, we compare using Jev and Claude to rerank 200 returned candidates from Pinecone. Jev returns a reranked list in about a second — 830 to 1,300 ms across eight test queries. Claude Opus 5, doing the same job in one long-context call, takes 4.2 to 6.8 seconds. That's roughly 5x faster, and about 43x cheaper: $0.004 per query against $0.18.