Azure AI Agent Service, part of Azure AI Foundry, enables the creation of AI agents that can automate workflows and perform tasks without requiring extensive coding or using Azure AI SDKs. These agents integrate with Neon, a serverless Postgres platform, for efficient database management and semantic search capabilities. Utilizing frameworks like LangChain and Semantic Kernel, Azure AI agents can interact with real-world data through Azure OpenAI models and external tools, thanks to seamless API integration. The Neon platform's features, such as database branching and vector storage, enhance the agents' ability to provide context-aware responses and manage databases dynamically. By employing the Azure AI Agent Service with Neon, developers can deploy AI agents to create, configure, and manage databases through simple commands, streamlining the process and eliminating the need for manual infrastructure management. The article exemplifies this process by demonstrating how an AI agent can be configured to manage Neon databases, aiming to improve efficiency and accuracy in database-related tasks.