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.
Open x.com ↗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

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 →