qmd

To search local Markdown notes for a specific topic, run a keyword, semantic, or hybrid search across your knowledge base. This quickly finds notes, meeting transcripts, and documentation locally.

Keyword search for Markdown files uses BM25 ranking to match exact terms, while semantic search uses vector embeddings to find conceptual matches. Hybrid ranking combines both methods to improve search accuracy across your notes.

Yes, you can search across multiple Markdown collections at the same time locally. This supports personal knowledge management tasks by retrieving meeting notes and looking up documentation spread across different folders.

Yes, you need a local installation to perform semantic search on your Markdown knowledge base. The search execution relies on this local setup to process vector search and BM25 keyword ranking locally.

The best way to find meeting transcripts in personal notes is using hybrid search across your local Markdown files. This approach combines BM25 keyword matching and vector semantic search to quickly retrieve specific transcript details.

You should use hybrid ranking instead of keyword search for documentation when you need to match both exact terms and conceptual meaning. Hybrid search combines BM25 and vector search to provide more accurate lookup results.