In this session, you will learn how to build a next-generation multi-source knowledge base agent using Microsoft IQ in Microsoft Foundry.

We will explore how to connect multiple data sources and use Microsoft IQ to ground large language models with relevant and contextual information. Through a practical approach, you will see how to design and build a RAG-based agent that can retrieve, reason, and respond using your own knowledge base.

By the end of the session, you will understand how to quickly develop intelligent agents in Microsoft Foundry that combine LLMs with your data to deliver accurate and context-aware responses.