Welcome to the RAG Foundation Course, your complete beginner-friendly guide to understanding how modern Generative AI systems work. In this course, you will learn Retrieval-Augmented Generation (RAG) from the ground up in a simple and structured way. RAG is the core technology behind many AI applications like ChatGPT-style assistants, document search tools, and intelligent knowledge systems.
We will start with the fundamentals of RAG and gradually move toward how real AI systems are designed. You will understand the complete RAG pipeline, including how documents are processed, how chunking works, how retrieval systems find relevant information, and how large language models generate accurate responses using that context.
You will also explore different types of RAG systems, retrieval strategies, prompt engineering techniques, and optimization methods that improve performance and accuracy. A dedicated section on evaluation will help you understand how RAG systems are tested using key metrics like precision, recall, and answer quality.
