Vector Databases and RAG in 2026: Smart Retrieval Architecture Guide
Quick Answer Vector databases and retrieval-augmented generation, usually called RAG, help AI systems answer from selected documents, knowledge bases, tickets, policies, product notes, and business records instead of relying only on model memory. In 2026, the best RAG systems are not only about storing embeddings. They are about building a reliable retrieval workflow that can find the right source, respect permissions, cite evidence, avoid stale content, and tell users when the available context is not enough. ...