LEARNER · GLOBAL
What is RAG (Retrieval-Augmented Generation)? Why BFSI cares.
RAG is a technique that lets AI models fetch fresh data from external sources (databases, documents, APIs) during inference—instead of relying only on training-data memory. In BFSI, RAG enables LLMs to cite live market data, customer history, or regulatory docs without hallucinating outdated facts.
WHY IT MATTERS
RAG is the architectural fix for 'LLM hallucination' problems in compliance and customer service. Banks use RAG to ground chatbots and underwriting systems in real KYC records, not made-up customer profiles.
Source: AITechHive · 2026-08-26