rag-explained-how-it-works

RAG Explained: How Retrieval-Augmented Generation Actually Works What Is RAG? RAG (Retrieval-Augmented Generation) is one of the most important architectural patterns in LLM applications from 2024–2025. The core idea is simple: before the LLM generates an answer, retrieve relevant information from an external knowledge base, inject the retrieval results into the context, and then have the model generate an answer based on that information. Why is RAG needed? Large language models h...