D-Bot is a novel database diagnosis system that leverages Large Language Models (LLMs) for managing, maintaining, and optimizing database systems. It aims to assist database administrators by providing prompt and accurate diagnosis reports, including root causes and solutions, thereby outperforming traditional methods. The system was validated on real benchmarks, including 539 anomalies across six applications, showcasing its capacity to effectively address unseen database anomalies.