jev-search
Source selection, query understanding, and relevance ranking for web search.
Home / Search, reranking and RAG
15 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.
MCP tool that scores a batch of files, URLs, or snippets for relevance so the agent opens only what matters.
A shadcn/ui registry block: keyword hits on the first keystroke, re-ranked by Jev a moment later, and keyword order stands if the call fails.
Nine runnable notebooks combining Gemini embeddings and Milvus retrieval with Jev decisions for reranking, filtering, search stopping, routing, cache reuse, curation, guardrails, and evaluation.
Searches a PDF by meaning in the browser: pdf.js extracts the lines locally, Jev answers one Noul per line in batches of 16, and matching lines light up page by page, ranked by probability.
Searches local documents with BM25 or hybrid retrieval, reranks candidate passages with batched Jev Noul judgments, and measures seven retrieval pipelines on BEIR NFCorpus.
Greps by meaning instead of by regex: every line gets a probability from Jev, and meanings combine with AND, OR, and NOT.
Browser extension that searches the page you are reading by meaning, in a Ctrl+F style box, with your own key and no backend.
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.
Rust CLI and MCP server that finds real, maintained repos and crates for a plain-language request, with Jev scoring the candidates.
Recursive choice over a taxonomy, past the 255-option cap.