Retrieval-Augmented Generation

TL;DR: Retrieval-Augmented Generation (RAG) is an AI architecture that combines large language models with external knowledge retrieval to produce more accurate, up-to-date, and verifiable responses. Instead of relying solely on training data, RAG systems fetch relevant documents from a knowledge base before generating answers, dramatically reducing hallucinations and enabling domain-specific AI applications. This guide covers…