LEARNER · GLOBAL
What is RAG? Retrieval-Augmented Generation explained for BFSI pros
RAG (Retrieval-Augmented Generation) is a technique where an AI model queries a knowledge base or database (retrieval step) before generating an answer, rather than relying solely on its training data. In BFSI: a bank LLM retrieves the latest regulatory guidance or a customer's account history before drafting a compliance memo or response.
WHY IT MATTERS
RAG solves the "hallucination" problem (AI inventing false facts) by anchoring outputs to real documents. Critical for regulated environments: you can trace the AI's reasoning back to source data, meeting audit and explainability requirements. Most production BFSI LLM deployments use RAG.
Source: AITechHive · 2026-08-08