Unlocking Data with Generative AI and RAG

Part 1 – Introduction to Retrieval-Augmented Generation (RAG)

In this part, you will be introduced to retrieval-augmented generation (RAG), covering its basics, advantages, challenges, and practical applications across various industries. You will learn how to implement a complete RAG pipeline using Python, manage security risks, and build interactive applications with Gradio. We will also explore the key components of RAG systems, including indexing, retrieval, generation, and evaluation, and demonstrate how to optimize each stage for enhanced performance and user experience.

This part contains the following chapters:

• Chapter 1, What Is Retrieval-Augmented Generation (RAG)
• Chapter 2, Code Lab – An Entire RAG Pipeline
• Chapter 3, Practical Applications ...