LEARNER · GLOBAL
What is RAG? Why BFSI firms are embedding it in LLM workflows
RAG stands for Retrieval-Augmented Generation: a technique that lets an AI model fetch real-time data (e.g., customer account balances, regulatory filings, market prices) before generating a response. Banks use RAG to keep LLM answers accurate and current without retraining the model.
WHY IT MATTERS
RAG is the practical bridge between general-purpose LLMs and live financial data; most production LLM deployments in banking already include RAG layers, so engineers need to understand retrieval latency, vector databases, and hallucination risk.
Source: AITechHive · 2026-08-25