RAG Makes AI Less Confidently Wrong by Adding a Fact-Check Step

Retrieval Augmented Generation (RAG) improves AI accuracy by first searching a knowledge base for relevant facts before generating answers. Traditional LLMs rely on pattern matching, leading to hallucinations like citing fake legal cases. RAG grounds responses in real documents, reducing errors.