LEARNER · GLOBAL
RAG (Retrieval-Augmented Generation): Why banks are adding memory to AI
RAG is a technique that lets AI assistants look up facts from a database before answering, instead of relying only on training data. Example: a bank chatbot uses RAG to pull your real account balance from core systems before telling you how much you have, avoiding hallucinated numbers.
WHY IT MATTERS
RAG is the fastest way to make LLMs accurate and current without constant retraining. BFSI deployments almost always need RAG to stay compliant and trustworthy; it's foundational to safe AI in banking.
Source: AITechHive · 2026-06-08