qmd

To search markdown documentation, you can use the qmd CLI or MCP server to query your knowledge base. It supports exact term matching (lex), semantic search (vec), and hypothetical document queries (hyde) to find specific information.

The best way to perform a semantic search across markdown notes is using the vec query type provided. This approach allows you to find conceptually relevant information within your markdown collections rather than relying solely on exact keyword matches.

Markdown knowledge base search requires the qmd CLI or the MCP server to be installed and running. Once the environment is set up, you can execute queries directly via the command line or integrate the search into your applications using the HTTP API.

You can integrate markdown search into scripts and applications by utilizing the provided HTTP API or the command-line interface. This allows you to programmatically query your markdown collections and retrieve relevant documentation automatically.

Use lex for exact term matching, vec for semantic relevance, and hyde for hypothetical document queries when searching markdown files. Choosing the right query type ensures you efficiently extract the specific information needed from your documentation.

You can search multiple collections of markdown files at once by executing a query through the qmd CLI or HTTP API. This allows you to simultaneously retrieve relevant information across different groups of markdown documentation or notes.