LEARNER · GLOBAL
What is RAG? How retrieval-augmented generation helps AI avoid hallucinations
Retrieval-Augmented Generation (RAG) is a technique where an AI model fetches relevant documents from a knowledge base before generating an answer, rather than relying purely on what it learned during training. Think: AI lawyer reads case files before drafting a memo, not from memory alone. BFSI use case: compliance AI retrieving regulatory docs to answer customer questions accurately.
WHY IT MATTERS
RAG is the foundation for enterprise AI in regulated industries—it reduces 'hallucinations' (fake facts) and allows models to cite sources, critical for audit trails and risk control in banking.
Source: AITechHive · 2026-08-07