RAG Tutorial

RAG (Retrieval-Augmented Generation) is an AI architecture that combines: Information Retrieval Large Language Models (LLMs) to generate more accurate, up-to-date, and context-aware responses. In simple terms: RAG allows AI models to search external knowledge before answering. Instead of relying only on pre-trained knowledge, the AI retrieves relevant information from documents, databases, or websites and uses that information to generate better answers.