CalibratedDecisions.

Repo · Search & RAG

agent-doc-search

Point coding agents at the right docs in large codebases: local BM25 and a TypeSafe Jev Choice search propose documents, then a Jev yes/no check…

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From the repository

Point AI coding agents at the right docs in large codebases: local BM25 and a Jev search propose, a Jev check confirms.

adrai-agentsbm25claude-codecoding-agentsjevragretrieval

How builders describe it

Point coding agents at the right docs in large codebases: local BM25 and a TypeSafe Jev Choice search propose documents, then a Jev yes/no check drops ones that only share words (author reports ~9 in 10 irrelevant hints removed).

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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