DAT (Data Ask Tool) is an enterprise-level AI tool designed to facilitate natural language interactions with databases, allowing users to query data without the need for complex SQL coding. It features a modular architecture that supports various databases such as MySQL, PostgreSQL, and Oracle, and integrates natural language processing for intelligent SQL generation. The tool's core capabilities include semantic SQL generation, support for multiple database dialects, and enhanced vectorized retrieval for accurate data matching.

The framework is built for developers, offering a command-line interface for project initialization and management. Users can create semantic models and configure data sources easily, making it suitable for both data engineers and analysts. With its focus on high-quality results and seamless integration into existing systems, DAT aims to simplify the data querying process, empowering businesses to leverage their data more effectively.