Repo · Search & RAG
jev-rag
Vector-free local RAG: SQLite BM25 retrieval, TypeSafe Jev evidence reranking, optional grounded LLM answers (no embeddings).
Open github.com ↗From the repository
Vector-free local RAG with SQLite BM25, Jev reranking, and grounded LLM answers. No embeddings or vector database.
bm25chinese-nlpfts5jevknowledge-basellmlocal-firstminimaxopenrouterpythonragrerankingretrieval-augmented-generationsqlitevector-free
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 61 search & rag projects →