RepoMicrosoftMicrosoftpublished Sep 16, 2026seen 6h

microsoft/ignite26-LAB672

Jupyter Notebook

Open original ↗

Captured source

source ↗
published Sep 16, 2026seen 6hcaptured 6hhttp 200method plain

microsoft/ignite26-LAB672

Language: Jupyter Notebook

License: MIT

Stars: 0

Forks: 0

Open issues: 1

Created: 2026-09-16T19:01:07Z

Pushed: 2026-10-29T05:59:47Z

Default branch: main

Fork: no

Archived: no

README:

Microsoft Ignite 2026

🔥LAB672: Ground agents in your business with an ontology in Fabric IQ

Session description

Ground agents in business data by creating a Fabric IQ ontology. Enrich the ontology, then explore supply-chain risks and delivery responses.

🚀 Getting started

In a guided session

If you're following along during a live session:

1. Open the [LAB672 attendee instructions](instructions/instructions-1.md). 2. Follow the facilitator through workspace setup and source staging. 3. Create and enrich your ontology, then investigate the supply-chain questions.

🎯 Learning outcomes

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

  • Create an ontology from a semantic model
  • Enrich the ontology using the Ontology agent
  • Expose ontology through various consumption experiences

💻 Technologies used

  • [Microsoft Fabric IQ](https://learn.microsoft.com/fabric/iq/overview) — ontology

and Ontology agent

  • [Power BI semantic models](https://learn.microsoft.com/power-bi/connect-data/service-datasets-understand)

— starting point for ontology creation

  • [Microsoft Fabric Lakehouse](https://learn.microsoft.com/fabric/data-engineering/lakehouse-overview)

— additional business entities and dependencies

  • [Microsoft Fabric Eventhouse](https://learn.microsoft.com/fabric/real-time-intelligence/eventhouse)

— time-based operational observations

  • [Microsoft Fabric notebooks](https://learn.microsoft.com/fabric/data-engineering/how-to-use-notebook)

— lab setup and data staging

📚 Continue your learning

Pick your next step based on your learning style:

| Resource | What you'll get | |----------|-----------------| | [Ignite 2026 Next Steps](https://aka.ms/ignite26-next-steps) | Additional session repos and materials from Microsoft Ignite 2026 | | [Microsoft AI Skills Navigator](https://aka.ms/ignite26-asn) | Discover AI skills, learning paths, and resources for your next step | | [Microsoft Learn](https://aka.ms/ignite26-learn) | Official documentation and guided learning paths on these topics | | [Microsoft Foundry Community](https://aka.ms/MicrosoftFoundryDiscord-Ignite26) | 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

Adam Lash

Ansley Yeo

Basak Mutlum

Yael Schuster-Davidi

⚖️ 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.