Repo · Search & RAG

jselect

Selects source-linked evidence within a token budget using Jev Noul relevance judgments and local diversity-aware selection.

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From the repository

Useful evidence for your AI, within a token budget. A fast, source-linked context selector for files, records, and agents.

agentsclicontextjevretrievalsemantic-searchtypesafe

How builders describe it

A CLI and Python library that selects source-linked evidence within a token budget using Jev Noul relevance judgments plus local diversity-aware selection, with no labels, vector database, or generative model required.

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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