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In the first session of our Microsoft IQ Deep Dive with Python series, we’ll kick things off with an introduction to the Microsoft IQ family: Foundry IQ, Work IQ, Fabric IQ, and Web IQ.

We’ll then take a deeper look at Foundry IQ (Azure AI Search), exploring how it helps agents and applications work with curated knowledge and organizational context.

We'll build a knowledge base and connect it to multiple knowledge sources, including the new IQs, MCP servers, and search indexes built from ingested data.

Then we'll perform multi-source agentic retrieval on the knowledge base, which executes queries in parallel and merges the results with state-of-the-art ranking models.

Finally, we will build an agent in Python using Microsoft Agent Framework and ground the agent's responses in results from the Foundry IQ knowledge base.

All code demos will use Python and will be available in an open-source repository for you to deploy yourself. After the stream, join office hours in the Microsoft Foundry Discord to ask follow-up questions.

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