RAG Explained: 10 Steps to Production-Ready Retrieval-Augmented Generation in 2026
Retrieval-Augmented Generation (RAG) is an AI architecture that enhances large language models by retrieving relevant documents from an external knowledge base before generating a response. Instead of relying solely on static training data, RAG injects real-time, domain-specific context into the prompt — reducing hallucinations and keeping answers current. This guide walks you through every layer … Read more