AI

RAG (Retrieval-Augmented Generation)

Technique where an AI model retrieves relevant documents from your data before answering, grounding responses in fact.

RAG is why a company chatbot can answer from your policies instead of hallucinating. Documents are indexed as embeddings; each question retrieves the most relevant passages, and the model answers using them — with citations.