QMD CLIv1.1.0

Software development teams use qmd to quickly find relevant sections in extensive internal documentation, such as API guides or architecture decisions. The hybrid search with LLM re-ranking helps locate conceptual information when exact keywords are unknown, improving developer productivity during debugging or feature implementation.

Project managers index meeting notes and transcripts to retrieve past discussions on specific topics like project timelines or stakeholder feedback. The vector semantic search enables finding related conversations based on meaning, aiding in decision-making and ensuring continuity across meetings.

Researchers and students use qmd to search through personal markdown notes on literature reviews, experiments, or hypotheses. The BM25 keyword search allows fast lookup of known terms, while hybrid queries help connect disparate ideas across notes for synthesis and paper writing.

Support teams or HR departments utilize qmd to access indexed company policies, FAQs, or procedural guides. The ability to restrict searches to specific collections ensures relevant results, speeding up response times for employee inquiries and reducing reliance on manual searches.

Content creators and technical writers index markdown drafts and reference materials to find related content or avoid duplication. The multi-get command facilitates batch retrieval of documents for editing or consolidation, streamlining content production workflows.

Offer a free tier for individual users with basic search capabilities and limited collections, while charging teams or enterprises for advanced features like higher query limits, priority support, and enhanced LLM re-ranking. Revenue is generated through monthly subscriptions based on usage and number of users.

Sell licenses to organizations requiring data privacy and control, such as healthcare or finance, for self-hosted deployments of qmd with full customization. Revenue comes from one-time license fees or annual maintenance contracts, including updates and technical support for integration with existing systems.

Monetize by providing qmd as an API service or through the MCP server for seamless integration into third-party tools like chatbots or project management software. Revenue is generated via API call pricing tiers or custom development fees for tailored integrations, targeting developers and platform builders.