Build Better RAGs with Contextual Retrieval

Learn how to enhance Retrieval-Augmented Generation (RAG) systems using contextual retrieval techniques in this 21-minute tutorial. Explore the importance of providing accurate context chunks to large language models for generating precise answers. Discover the step-by-step process of implementing contextual retrieval, from setting up Google Colab and configuring the database to adding context to chunks and building a RAG system. Follow along as the instructor demonstrates how to test and evaluate the improved RAG implementation. Gain insights into optimizing AI-powered question-answering systems and chatbots for more accurate and contextually relevant responses.

- Welcome
- Text tutorial on MLExpert.io
- What is Contextual Retrieval?
- Process Overview
- Google Colab Setup
- Database Setup
- Add context to chunks
- Build a RAG
- Try out the RAG
- Conclusion