HQL – Run typed queries directly inside Markdown (github.com)

HQL, or Hyper Query Language, has been announced as a statically typed language designed for querying and processing data across various AI workflows. It seamlessly integrates functional programming concepts, data streaming, and semantic retrieval into one coherent framework, allowing users to execute complex operations directly within Markdown documents. This integration transforms traditional documentation into dynamic, interactive reports, where queries can run alongside explanatory text, enhancing knowledge accessibility and productivity. The significance of HQL lies in its versatility: it can handle data integration, ETL processes, and knowledge graph queries without requiring separate languages or frameworks. Key technical features include a strong type system that ensures type safety before execution, support for streams as first-class types, and the ability to create reusable data transformation functions. Moreover, HQL's design allows it to adapt to numerous execution surfaces—from command-line interfaces to interactive editing environments like VS Code—making it a powerful tool for both developers and data scientists working in AI and data-intensive applications.