🎉 Welcome to RAG Time, a 5 journey AI learning series where Retrieval-Augmented Generation (RAG) meets innovation! This repository is your companion to the video series, containing code samples, step-by-step guides, and resources to help you master RAG concepts.
The RAG Time series aims to:
- Teach foundational and advanced RAG concepts.
- Demonstrate how RAG can be applied to real-world scenarios.
- Provide hands-on samples for practical implementation.
To run the code samples included in this repository:
- 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 |
|---|---|---|---|
| RAG and Indexing Fundamentals | Understand the strategic importance of RAG and indexing | Video | Sample |
| Build the Ultimate Retrieval System | Explore how Azure AI Search powers retrieval system | Video | Sample |
| Optimize Your Vector Index at Scale | Learn real-world optimization techniques for scaling vector indexes | Video | Sample |
| RAG for All Your Data | Discover how multimodal data can be indexed and retrieved | Video | Sample |
| Hero Use-Cases for RAG | Get inspired by hero use cases of RAG in action | Video | Sample |
🚀 Let’s build the future of AI together!
- 💬 Join the Community: Discuss, ask questions, and share insights via GitHub Discussions.
- ⭐ Star this repository to stay updated.
- 📢 Spread the word: Share RAG Time with your network!
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 [email protected] 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 are subject to those third-party's policies.