Qmdv0.1.0

A researcher uses qmd to index their collection of academic papers in Markdown format. They perform fast keyword searches to find relevant studies and use semantic search to discover papers with similar concepts when keyword matches are insufficient, streamlining literature review.

A software development team indexes their internal Markdown documentation. Engineers quickly search for API references or troubleshooting guides using keyword search, and use hybrid search for finding related documentation when terms are ambiguous, improving productivity.

A law firm indexes case notes and legal briefs in Markdown. Lawyers use qmd to retrieve specific cases via keyword search and employ semantic search to find precedents with similar legal arguments, enhancing case preparation efficiency.

A medical practice stores patient notes in Markdown files. Healthcare providers search for symptoms or treatments using fast keyword queries and utilize vector search to find notes with similar patient histories, aiding in diagnosis and care planning.

Offer a free tier for individual users with basic search features and limited collections. Charge a subscription fee for teams with advanced features like priority support, larger indexes, and automated scheduling, targeting small to medium businesses.

Sell licenses to large organizations for on-premises deployment with custom integrations, enhanced security, and dedicated support. Include features like API access, advanced analytics, and compliance with industry standards.

Provide consulting services to help clients set up and optimize qmd for their specific use cases, such as integrating with existing document management systems or developing custom plugins. Offer training and ongoing maintenance support.