LEARNER · GLOBAL
What is Retrieval-Augmented Generation (RAG)? Why it matters for BFSI compliance.
RAG is a technique that feeds an LLM external documents (e.g., regulatory filings, trading records, customer policies) before answering a question. Instead of relying solely on training data, the model retrieves relevant facts first, then synthesizes an answer. This reduces hallucinations and ensures answers cite live, auditable sources—critical for compliance and audit trails.
WHY IT MATTERS
BFSI compliance teams can deploy RAG to automate policy interpretation, customer inquiry resolution, and regulatory response without risking hallucinated advice; RAG is the difference between 'black box LLM' and 'auditable AI system'.