# ignite25-LAB511-build-knowledge-agents-next-level-agentic-rag-with-azure-ai-search

**Repository Path**: mirrors_microsoft/ignite25-LAB511-build-knowledge-agents-next-level-agentic-rag-with-azure-ai-search

## Basic Information

- **Project Name**: ignite25-LAB511-build-knowledge-agents-next-level-agentic-rag-with-azure-ai-search
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: CC-BY-SA-4.0
- **Default Branch**: main
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2025-10-02
- **Last Updated**: 2025-10-04

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

<p align="center">
<img src="img/Banner-ignite-25.png" alt="decorative banner" width="1200"/>
</p>

# [Microsoft Ignite 2025](https://ignite.microsoft.com)

## 🔥LAB511: Build Knowledge Agents: Next-Level Agentic RAG with Azure AI Search

[![Microsoft Azure AI Foundry Discord](https://dcbadge.limes.pink/api/server/ByRwuEEgH4)](https://discord.com/invite/ByRwuEEgH4)
[![Azure AI Foundry Developer Forum](https://img.shields.io/badge/GitHub-Azure_AI_Foundry_Developer_Forum-blue?style=for-the-badge&logo=github&color=adff2f&logoColor=fff)](https://aka.ms/foundry/forum)

### Session Description

In this hands-on lab, you’ll build a Knowledge Agent using agentic RAG, the next evolution of retrieval in Azure AI Search. Connect your agentic retrieval engine to your data through smart source selection across multiple indexes and storage systems. Learn how to enhance planning using natural language guidance and generate grounded responses with citations or extractive answers tailored to your use case. By the end, you’ll have a fully functional Knowledge Agent responds over enterprise data.

### 🧠 Learning Outcomes

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

- Design and build a Knowledge Agent that uses agentic RAG to retrieve, reason, and respond over enterprise data.
- Implement smart source selection to connect and query multiple indexes and data sources intelligently.
- Use natural language guidance to enhance query planning and generate grounded, citation-rich, or extractive responses tailored to business needs.

### 💻 Technologies Used

1. Azure AI Search
1. Azure AI Foundry
1. GitHub Codespaces / VS Code

### 🌟 Microsoft Learn MCP Server

[![Install in VS Code](https://img.shields.io/badge/VS_Code-Install_Microsoft_Docs_MCP-0098FF?style=flat-square&logo=visualstudiocode&logoColor=white)](https://vscode.dev/redirect/mcp/install?name=microsoft.docs.mcp&config=%7B%22type%22%3A%22http%22%2C%22url%22%3A%22https%3A%2F%2Flearn.microsoft.com%2Fapi%2Fmcp%22%7D)

The Microsoft Learn MCP Server is a remote MCP Server that enables clients like GitHub Copilot and other AI agents to bring trusted and up-to-date information directly from Microsoft's official documentation. Get started by using the one-click button above for VSCode or access the [mcp.json](.vscode/mcp.json) file included in this repo.

For more information, setup instructions for other dev clients, and to post comments and questions, visit our Learn MCP Server GitHub repo at [https://github.com/MicrosoftDocs/MCP](https://github.com/MicrosoftDocs/MCP). Find other MCP Servers to connect your agent to at [https://mcp.azure.com](https://mcp.azure.com).

*Note: When you use the Learn MCP Server, you agree with [Microsoft Learn](https://learn.microsoft.com/en-us/legal/termsofuse) and [Microsoft API Terms](https://learn.microsoft.com/en-us/legal/microsoft-apis/terms-of-use) of Use.*

### 📚 Resources and Next Steps

| Resources          | Links                             | Description        |
|:-------------------|:----------------------------------|:-------------------|
| Ignite 2025 Next Steps | [https://aka.ms/Ignite25-Next-Steps](https://aka.ms/Ignite25-Next-Steps?ocid=ignite25_nextsteps_cnl) | Links to all repos for AI Tour 26 Sessions |
| Azure AI Foundry Community Discord | [![Microsoft Azure AI Foundry Discord](https://dcbadge.limes.pink/api/server/ByRwuEEgH4)](https://discord.com/invite/ByRwuEEgH4)| Connect with the Azure AI Foundry Community! |
| Learn at Ignite | [https://aka.ms/LearnAtIgnite](https://aka.ms/LearnAtIgnite?ocid=ignite25_nextsteps_github_cnl) | Continue learning on Microsoft Learn |

## Content Owners

<table>
<tr>
    <td align="center"><a href="http://github.com/aycabas">
        <img src="https://github.com/aycabas.png" width="100px;" alt="Ayca Bas"
"/><br />
        <sub><b> Ayca Bas
</b></sub></a><br />
            <a href="https://github.com/aycabas" title="talk">📢</a> 
    </td>
    <td align="center"><a href="http://github.com/mattgotteiner">
        <img src="https://github.com/mattgotteiner.png" width="100px;" alt="Matt Gotteniner
"/><br />
        <sub><b>Matt Gotteiner
</b></sub></a><br />
            <a href="https://github.com/mattgotteiner" title="talk">📢</a> 
    </td>
    <td align="center"><a href="http://github.com/pamelafox">
        <img src="https://github.com/pamelafox.png" width="100px;" alt="Pamela Fox"
"/><br />
        <sub><b> Pamela Fox
</b></sub></a><br />
            <a href="https://github.com/pamelafox" title="talk">📢</a> 
    </td>
</tr></table>


## Contributing

This project welcomes contributions and suggestions.  Most contributions require you to agree to a
Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us
the rights to use your contribution. For details, visit [Contributor License Agreements](https://cla.opensource.microsoft.com).

When you submit a pull request, a CLA bot will automatically determine whether you need to provide
a CLA and decorate the PR appropriately (e.g., status check, comment). Simply follow the instructions
provided by the bot. You will only need to do this once across all repos using our CLA.

This project has adopted the [Microsoft Open Source Code of Conduct](https://opensource.microsoft.com/codeofconduct/).
For more information see the [Code of Conduct FAQ](https://opensource.microsoft.com/codeofconduct/faq/) or
contact [opencode@microsoft.com](mailto:opencode@microsoft.com) with any additional questions or comments.

## 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](https://www.microsoft.com/legal/intellectualproperty/trademarks/usage/general).
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.