QMD Search
Search markdown knowledge bases efficiently using qmd, a local indexing tool that combines BM25 keyword matching and vector embeddings to return only relevant snippets instead of full files, achieving 96% token reduction.
🚀 QMD Search lets you quickly find information in your markdown knowledge bases without reading entire files. It uses smart indexing with keyword matching and AI-powered semantic search to return only the relevant snippets you need—cutting token usage by 96%.
💡 Perfect for researchers, developers, and note-takers who need fast answers. Use keyword search for specific terms like "API authentication," or semantic search when you're exploring concepts where wording varies. Results include file paths so you can dive deeper instantly.
✨ Everything stays local and private—no cloud uploads. Pre-indexed content means zero wait time, and hybrid search combines both methods for maximum accuracy when you need it.
Requirements
Local markdown indexing and search tool with BM25 and vector embedding capabilities