Introduction: RAG & Retrieval

1. What This Module Covers

Retrieval-augmented generation (RAG) is a simple idea. Before the model answers, the system searches your documents for the most relevant passages. It hands those passages to the model, and the model answers from them. Look it up first, then write the answer.

RAG is the load-bearing pattern of applied GenAI: the one most real products stand on. It is also the system interviewers ask you to design most often right now. Here is why. Almost every useful LLM product needs the model to answer from knowledge it was never trained on. Your company's documents