DataWhisper uses a modular agent-based architecture to parse natural language questions, generate precise SQL queries, and execute them across diverse database systems. It incorporates conversational AI agents that handle context, error checking, and optimization, enabling users to retrieve insights without writing SQL manually. With a plugin interface, DataWhisper can integrate custom parsers, database drivers, and LLM backends, making it extensible for enterprise analytics, reporting, and interactive data-driven applications. It simplifies workflows by automating repetitive tasks, supports multiple SQL dialects including MySQL, PostgreSQL, and SQLite, and logs query histories for audit compliance. Agents communicate with mainstream LLM APIs, offer error handling and real-time feedback, and can be integrated into web services or chatbots via RESTful endpoints.

QueryX is a state-of-the-art Text2SQL platform that allows users to convert natural language queries into precise SQL commands. This enables users of all skill levels to extract valuable insights from complex databases effortlessly. The platform features built-in AI capabilities for improved accuracy and can adapt to various database types, ensuring compatibility and performance.