LEARNER · GLOBAL
What is RAG? A practical AI pattern for BFSI document-heavy workflows
Retrieval-Augmented Generation (RAG) lets an AI model look up relevant documents—say, loan agreements or compliance filings—before answering. It grounds answers in your data instead of hallucinating. Banks use RAG for document review, KYC, and regulatory Q&A.
WHY IT MATTERS
RAG is a production standard for enterprise AI in BFSI; reduces hallucination risk and ensures audit trails. Understanding RAG internals (retrieval quality, embedding drift, chunk size) is table-stakes for engineering teams shipping LLM pilots.
Source: AITechHive Primer · 2026-10-15