Repo · Search & RAG

jev-rerank

Use Jev (TypeSafe's System One model) as a calibrated reranker: one call, up to 30 documents, a probability per document.

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From the repository

Use Jev (TypeSafe's System One model) as a calibrated reranker: one call, up to 30 documents, a probability per document. Apache-2.0.

How builders describe it

Use Jev (TypeSafe's System One model) as a calibrated reranker: one call, up to 30 documents, a probability per document. Apache-2.0.

A BEIR reranking recipe that asks up to 30 parallel Noul relevance questions in one Jev state, with RESULTS.md against cross-encoders and hosted rerankers.

The decision Jev makes

Rank candidates against a query, or answer whether a passage is relevant.

Where it fits

Search pipelines retrieve too much. These projects use Jev as a reranker or relevance check after the first search, so only useful results reach the user or the model. All 108 search & rag projects →

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