LEARNER · GLOBAL
What is RAG? Grounding AI models in real data to reduce hallucination.
RAG (Retrieval-Augmented Generation) is a technique where an AI model retrieves relevant documents or data from a knowledge base before generating a response. Banks use RAG to give LLMs access to internal policies, regulations, or transaction records so answers are grounded in fact, not invented.
WHY IT MATTERS
RAG is critical for BFSI compliance and risk systems: it ensures an LLM answering a regulatory question or fraud query cites real internal data rather than hallucinating plausible-sounding but false answers. Production deployments now require RAG as a baseline control.
Source: AITechHive · 2026-09-19