LEARNER · GLOBAL
What is RAG? How banks use retrieval-augmented generation to ground AI models
RAG (Retrieval-Augmented Generation) is a technique where an LLM queries an external knowledge base—like a bank's document repository or compliance library—before generating answers. This grounds AI responses in real data instead of hallucinating, making it safer for regulatory Q&A, risk disclosure, or customer explanations.
WHY IT MATTERS
RAG lets BFSI deploy LLMs on sensitive data without fine-tuning, reducing training cost and governance risk; compliance teams can feed policy docs directly into customer-facing chatbots.
Source: AITechHive · 2026-10-29