bm25

Ranked content search over any text corpus using BM25 (via xhluca/bm25s). Corpus-agnostic: works on cloned repos, project knowledge stores, uploaded files/archives, and any local directory. Stateless — builds an in-memory index each invocation, no cache, no persistence. Use when you need ranked multi-word content search beyond grep, or when picking the "most relevant files for these terms" across a corpus. Triggers on "rank these documents", "search this corpus", "find content about X", "which files are most about Y", or multi-word concept queries against a known body of text.

适合你，如果需要在大量文本中找出最相关的内容。