frontiertour27-ILL344-turning-data-into-agent-ready-knowledge-with-microsoft-iq

Microsoft Frontier Tour 2027

🔥 ILL344: Turning data into agent-ready knowledge with Microsoft IQ

Session description

Use Foundry IQ to build a multi-source knowledge base with agentic retrieval, Fabric IQ to retrieve structured data from OneLake, and Work IQ to include organizational context. Build an agent that uses their combined retrieval power to reason across files, data, and work signals.

🚀 Getting started

In a guided session

If you're following along during a live session:

1. Open the lab environment and sign in with the provided credentials.
2. Follow the setup guidance in instructions/overview.md.
3. Open src/notebooks/, start with part1-standard-foundry-iq-kb.ipynb, and work through all five notebooks sequentially.

On your own

If you're learning at your own pace:

1. Clone this repository.
2. Provision the required resources by following the self-deployment guide.
3. Follow instructions/overview.md, then work through all five notebooks in src/notebooks/ sequentially.

🎯 Learning outcomes

By the end of this session, you will be able to:

• Build a multi-source knowledge base over indexed enterprise content using Foundry IQ (Azure AI Search) agentic retrieval.
• Extend a knowledge base with Fabric IQ and Work IQ knowledge sources.
• Build a Python agent using Microsoft Agent Framework with answers grounded in a Foundry IQ knowledge base.

💻 Technologies used

• Foundry IQ (Azure AI Search)
• Azure OpenAI (gpt-5.4 and text-embedding-3-large)
• Model Context Protocol (MCP)
• Microsoft Fabric IQ and Work IQ
• Python and Jupyter Notebooks

📚 Continue your learning

Pick your next step based on your learning style:

Resource	What you'll get
Session Recording	A recording of session ILL344 by the session creator
Foundry IQ (Azure AI Search) documentation	Explore the full capabilities of Foundry IQ (Azure AI Search)
Create a knowledge base	Follow the steps to create and configure a knowledge base
Design an index for agentic retrieval	Learn best practices for structuring data for agentic retrieval
Microsoft Learn	Official documentation and guided learning paths on these topics
Frontier Tour 2027 Resource Center	Additional session repos and materials from Frontier Tour 2027
Microsoft Foundry Community	Connect with other learners and experts in our Discord community

🌟 Microsoft Learn MCP Server

The Microsoft Learn MCP Server gives your AI agent direct access to Microsoft's official documentation — grounded, up-to-date answers about the topics in this session.

GitHub Copilot CLI — Install with:

copilot plugin install microsoftdocs/mcp

VS Code — One-click install:

For more information, visit the Learn MCP Server repo.

👥 Content owners

Deliver this session

Presenters and re-delivery partners can find the deck, recordings, presenter notes, and delivery guidance in delivery-resources/.

⚖️ Trademarks

This project may contain trademarks or logos for projects, products, or services. Authorized use of Microsoft trademarks or logos is subject to and must follow Microsoft's Trademark & Brand Guidelines. Use of Microsoft trademarks or logos in modified versions of this project must not cause confusion or imply Microsoft sponsorship.

Any use of third-party trademarks or logos are subject to those third-party's policies.