Introduction

Introduction

The past few years have seen a rise in the popularity of AI (Artificial Intelligence). You must have heard of and used ChatGPT by now. It’s by far the most popular example of the power and potential of AI. These days, it seems like every technology wants to boast of some AI enhancements.

One technique, Retrieval-Augmented Generation (RAG), is quickly becoming the most common application of AI for individuals and corporations. RAG combines the power of data retrieval with generative Large Language Models (LLMs).

By the end of this lesson, you will have learned to:

• Understand the fundamental concepts of RAG and its applications in AI.
• Learn the role of embeddings and vector databases in RAG systems.
• Know the differences between RAG and traditional LLM approaches.