🚀 Master RAG with RAG Time! Learn how to build smarter AI applications with Retrieval-Augmented Generation. This repo includes step-by-step guides, live coding samples, and expert insights—everything you need to go from beginner to RAG pro!
📺 All episodes of RAG Time are live! Watch the full series now on YouTube.
- Expert-Led – Learn directly from AI & Microsoft experts.
- Future-Proof Your AI Skills – Stay ahead with cutting-edge retrieval techniques.
- Exclusive Video Content – Interviews with AI leaders, in-depth tech talks, and practical demonstrations.
- Sample Code – Follow along with ready-to-use implementations and best practices.
- Doodles & Visual Explanations – Complex concepts made simple with engaging visuals.
- Fork the repository.
- Clone the repository to your local machine:
git clone https://github.com/your-org/rag-time.git
cd rag-time- Navigate to the Journey of your choice and follow the README Instructions.
RAG Time runs every Wednesday at 9AM PT from March 5th to April 2nd. Each journey covers unique topics with leadership insights, tech talks, and code samples
| Journey Page | Description | Video | Code Sample | Blog |
|---|---|---|---|---|
| RAG and Knowledge Retrieval Fundamentals | Understand the strategic importance of RAG and knowledge retrieval | Watch now | Sample | Journey 1 |
| Build the Ultimate Retrieval System | Explore how Azure AI Search powers retrieval system | Watch now | Sample | Journey 2 |
| Optimize Your Vector Index at Scale | Learn real-world optimization techniques for scaling vector indexes | Watch now | Sample | Journey 3 |
| RAG for All Your Data | Discover how multimodal data can be indexed and retrieved | Watch now | Sample | Journey 4 |
| Hero Use-Cases for RAG | Get inspired by hero use cases of RAG in action | Watch now | Sample | Journey 5 |
| Agentic RAG | Learn about Agentic RAG an build your first Agentic RAG solution | Ask your questions on Discord! | Sample | Bonus Journey |
We'd love to see you contributing to our repo and engaging with the experts with your questions!
- 🤔 Do you have suggestions or have you found spelling or code errors? Raise an issue or Create a pull request.
- 🚀 If you get stuck or have any questions about RAG, join our Azure AI Community Discord.
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 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. For more information, see the Code of Conduct FAQ or contact opencode@microsoft.com with any additional questions or comments.
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 is subject to those third parties' policies.