Join Abe Omorogbe, to learn how to build AI powered agents backed by PostgreSQL on Azure using Microsoft Foundry.

Abe demos how to securely connect agents to PostgreSQL data, use natural language for querying and analytics, and add vector search for more relevant results, while running on Azure infrastructure power by AMD processors for performance and efficiency at scale. 

0:00 Introduction
1:00 Support for PostgreSQL on Azure to Microsoft Foundry
1:30 PostgreSQL extension in VS Code
2:16 Demo agent in Microsoft Foundry
3:06 PostgreSQL MCP Server
3:58 Two use cases for using PostgreSQL for talking to your data
4:05 First use case: Natural language and SQL
6:25 Second use case: How to incorporate vector search
7:29 Wrap Up

📺 Watch the series: https://www.aka.ms/PostgreLikeAPro
💻 Launch guided demo to build your own agentic app: https://www.aka.ms/AzurePostgres-AI

Microsoft Developer

A demo walkthrough showing how to integrate Azure Database for PostgreSQL with Microsoft AI Foundry to build AI agents that query data using natural language. The demo covers setting up an MCP server to securely connect an agent to a PostgreSQL database, using natural language to run SQL queries and analyze data, and incorporating vector search with Azure OpenAI embeddings to return semantically relevant results. Security is highlighted through permission-based access control for the MCP server user.

PostgreSQL Like a Pro: Build smart and secure agents with PostgreSQL on Azure