RAG (Retrieval-Augmented Generation) allows an AI to consult your own documents and data before responding, avoiding errors and “hallucinations.” In Nemo, RAG works only with the information you provide—manuals, knowledge bases, policies—to deliver accurate, secure, and cited answers. With support from the Aura agent, you can choose the best model for your content without technical knowledge, making the most of your internal knowledge efficiently.