Build an AI agent with Microsoft Agent Framework, PostgreSQL, and API Management

Video Description

Take your Ignite learning to the next level! Join us for an engaging Reactor Learn Live episode where we’ll show you how to combine the flexibility of Azure Database for PostgreSQL with cutting-edge AI capabilities to create intelligent, scalable applications on Azure. 📖 Follow along with the Learn path: https://aka.ms/AIAppsCosmosDB/yt 🔎 Explore the Learn module: https://aka.ms/AIApps/Skilling/multi 📌 Learn more about the series: https://aka.ms/AzureSkilling-Ignite/25 Chapters 00:03 – Welcome & Housekeeping 01:02 – Meet the Speakers: Aaron & Spencer 01:55 – What is an AI Agent? Fundamentals Explained 03:04 – Why PostgreSQL for AI? PGVector Advantages 04:22 – API Management & Turnkey Security Overview 07:06 – Agenda & Key Takeaways 10:56 – Defining AI Agents in Microsoft Agent Framework 15:12 – Demo: Building a Simple AI Agent in .NET 22:01 – Tool Calls & Best Practices 31:03 – Multi-Agent Systems & Orchestration Patterns 43:16 – Observability with OpenTelemetry & Jaeger 49:01 – PostgreSQL Integration: Storing Chat Threads 52:44 – Embeddings & Similarity Search Basics 57:29 – RAG with PostgreSQL & PGVector Demo 1:07:02 – Scaling AI Agents & API Management 1:12:05 – Entrepreneurship & ROI Use Cases 1:16:17 – Final Best Practices + GitHub Repo #MicrosoftReactor #learnconnectbuild [eventID:26508]