RAG (Retrieval Augmented Generation)

A technique where the AI model is grounded in your specific documents (knowledge base, FAQs, policies, past conversations) before answering. The model retrieves relevant content first, then generates a response based on that content. Dramatically reduces hallucinations and increases factual accuracy.