qmd

To search markdown notes instantly, you can use a local hybrid search tool that indexes your documents and retrieves matching files based on keywords or semantic meaning.

Keyword search uses BM25 algorithms for rapid text matching in markdown files, while semantic vector search finds conceptually similar notes even when exact wording differs, and hybrid search combines both.

Yes, you can find markdown documents by using vector-based semantic search, which retrieves content based on conceptual similarity rather than requiring exact keyword matches.

You can search within specific markdown note collections by using optional collection targeting features, which filter retrieval results to only include documents from your designated indexed groups.

Local markdown search operates entirely on your machine by indexing local files and using BM25 or vector search modes, meaning no internet connection is required for document retrieval.

You should use hybrid search when you need comprehensive markdown note retrieval, as it combines the precise text matching of BM25 keyword search with the conceptual coverage of vector semantic search.