jev-search
Source selection, query understanding, and relevance ranking for web search.
Home / Search, reranking and RAG
9 entries
Source selection, query understanding, and relevance ranking for web search.
Jev as a calibrated reranker: one call, up to 30 documents, a probability per document.
LlamaIndex reranker and router, cheaper than an LLM judge.
Classifies OCR'd legal agreements through the FOLIO Document Types ontology with recursive Jev Choices, beam search, confidence-gated leaf stopping, and context-length benchmarking.
MCP tool that scores a batch of files, URLs, or snippets for relevance so the agent opens only what matters.
Rust CLI and MCP server that finds real, maintained repos and crates for a plain-language request, with Jev scoring the candidates.