The Trusted Data Agent represents a paradigm shift in how Business Leaders, Business Analysts, Developers, and Architects interact with complex data ecosystems.
It is a sophisticated web application designed not only to showcase AI-powered interaction with a Relational Information system, but to serve as a powerful, fully transparent "study buddy" for mastering the integration of Large Language Models (LLMs) with enterprise data.
This solution provides unparalleled, real-time insight into the complete conversational flow between the user, the AI agent, the Model Context Protocol server, and the underlying relational information system, establishing a new standard for clarity and control in AI-driven data analytics.
The Trusted Data Agent is open source and contributions are welcome. Please visit the main git project to report issues or submit pull requests.
Git Repository: https://github.com/rgeissen/trusted-data-agent.git
Trusted Data Agent Author/Initiator
Rainer Geissendoerfer, World-Wide Data Architecture,