CalibratedDecisions.

Post · Search & RAG

A RAG loop where Jev decides what is real

Hybrid search, one Jev scoring call and a claim check, with agents around them.

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NO1ennn @N01ennn

this is pure f*cking treasure

A Stanford AI research group finally drew the perfect RAG system: retrieval, Jev and agents in one loop, and it fixes the 3 things that break every RAG app:

> the LLM reads 20 passages when only 3 matter
> it answers questions your docs can't

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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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