A Rust CLI that finds files and line ranges with two ingredients: a stateless in-memory BM25 pass for recall and Jev calibrated judgments for precision. No embeddings, no vector database, no index directory, no repository state.
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Semantic code and document search CLI — BM25 recall + TypeSafe Jev calibrated precision
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Find files and content using Jev's calibrated decisions. jevr is a simple, lightweight, blazing-fast information-retrieval CLI built from exactly two ingredients: a local, stateless BM25 pass for recall, and TypeSafe Jev calibrated judgments for precision. No embeddings, no vector database, no index directory, no repository state — point it at any codebase or plain-text document corpus (markdown, rst, txt, html, org, tex, ...) and ask a question.
Quoted from the project's README. Read the full README.
Watch out
Requires Rust 1.88+ and a TypeSafe key at runtime, so every cache-cold query is a billed call - the README puts it at roughly 2 seconds and about a cent per cold query, with a warm re-query measured at about 0.1s and zero billed requests. It is not a reranker frontier model everywhere: on BEIR NFCorpus it scores 0.363 nDCG@10 against the best zero-shot reranker's 0.399, and the README says full-corpus retrieval is bounded by BM25 candidate recall on vocabulary-divergent domains, which is why a candidate_cap: 100 overlay is the measured recommendation. Hand-tuned -k keyword variants measured worse than the plain question (macro-F1 0.614 vs 0.673), so the obvious tuning knob is a downgrade. Results are a listwise rerank when that succeeds and score order otherwise, so ordering behaviour changes with the mode. This README copy is cut off partway through the flags table, so the remaining flags and sections after it were not visible here. Copy reviewed against the repository README on 2026-10-04, not from running it.
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