Advanced RAG Techniques Tutorial

This tutorial explores advanced Retrieval-Augmented Generation (RAG) techniques, focusing on practical applications for improving context relevance and answer accuracy in systems like chatbots and virtual assistants. Key topics include:

• What is RAG? Understanding the basics of combining search capabilities with Large Language Models (LLMs) to enhance response quality.
• Simple RAG Workflow: A step-by-step guide to the retrieval, augmentation, and generation process.
• Advanced Techniques: Detailed explanations of Sentence Window Retrieval and Auto-Merging Retriever methods for efficient index retrieval.
• Evaluation: Methods to evaluate the effectiveness of different RAG techniques based on context and answer relevance.

Check out the Simple-RAG-Chatbot repository for code examples and further details, and the Evaluating-RAG-Chatbot repository for evaluating and implementing these techniques in your projects.

References:

1. Advanced RAG Techniques: Unlocking the Next Level
2. Evaluating Advanced Retrieval Augmented Generation
3. Building and Evaluating Advanced RAG Applications

YouTube Link

You can also watch the video on YouTube.