# BUILD25-LAB331

**Repository Path**: mirrors_microsoft/BUILD25-LAB331

## Basic Information

- **Project Name**: BUILD25-LAB331
- **Description**: This repository hosts the instructions and workshop materials for Lab 331 (Deep Research with Langchain and DeepSeek R1) for Microsoft Build
- **Primary Language**: Unknown
- **License**: MIT
- **Default Branch**: main
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2025-04-25
- **Last Updated**: 2026-02-28

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

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<img src="img/banner.jpg" alt="decorative banner" width="1200"/>
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# Build25 LAB331 - Deep Research with LangChain and DeepSeek R1

## Description

In this hands-on workshop, you'll learn how **Reasoning Models**, like DeepSeek R1 work and how to use them for deep research. 

### The complete iterative deep research process includes:

1. **Query Generation**: Query generation based on the users research topic input 
2. **Web Search**: Searching the web based on the generated query
3. **Summarization**: Summarization of the web search results into a report
4. **Knowledge Gap Identification**: Reflection on the summary and identification of specific knowledge gaps to fill
5. **Follow-up search cycles**: Iterative search and reflection cycles based on identified gaps
6. **Final Report**: Synthesis of all findings into a comprehensive report

![Azure Deep Research App](./docs/docs/media/deep_researcher_architecture.png)

## What You'll Learn

This workshop has been built to teach you foundational concepts for using reasoning models. 

- To view the full application code see the [Deep Research Azure Sample](https://github.com/Azure-Samples/deepresearch). 
- For a more in depth understanding of how reasoning models work read [this article](https://techcommunity.microsoft.com/blog/azure-ai-services-blog/everything-you-need-to-know-about-reasoning-models-o1-o3-o4-mini-and-beyond/4406846). 

### By the end of this workshop, you'll have learnt:

- What a reasoning model is and how to use DeepSeek R1
-  How to use reasoning models with tools like [Tavily](https://app.tavily.com) web search for optimum search results
- What [LangGraph](https://www.langchain.com/langgraph) is and how to implement reflection style archictecture with it
- How to use LangGraph to perform iterative research cycles to build comprehensive knowledge
- How to deploy the final application

## Workshop Structure

The workshop is organized into four labs:

1. **[Introduction to Reasoning Models](./docs/docs/lab-1-introduction-to-reasoning-models.md)**
2. **[Web Research Integration](./docs/docs/lab-2-web-research.md)**
3. **[Research Reflection](./docs/docs/lab-3-reflection.md)**
4. **[Launching Your Researcher](./docs/docs/lab-4-launch-researcher.md)**

## Content Owners

Marlene Mhangami, Senior Developer Advocate at Microsoft

## 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 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
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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.

## Session Resources 

| Resources          | Links                             | Description        |
|:-------------------|:----------------------------------|:-------------------|
| Session Home Page | https://build.microsoft.com/sessions/LAB331 | Session Homepage on Build|
| Learn Plan  | [http://aka.ms/build/lab331](http://aka.ms/build/lab331) | Learn plan to follow and learn at your own pace|