CalibratedDecisions.

Repo · Search & RAG

Jev-Reranking

Search engine experimentation on the TREC collections.

Open github.com ↗

From the repository

Search engine experimentation on the TREC collections. Currently focused on zero-shot reranking implementations with typesafe.ai's JEV model

agentic-researcherautoresearchbm25information-retrievaltrectrec-eval

How builders describe it

Search engine experimentation on the TREC collections. Currently focused on zero-shot reranking implementations with typesafe.ai's JEV model.
Reproducible study testing whether Jev zero-shot can match specialist rerankers on fixed MS MARCO passage, MS MARCO document, and TREC-1 WSJ candidates, reporting ranking quality, time, and API cost.

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 →

Related projects