LEARNER · GLOBAL
RAG (Retrieval-Augmented Generation): connecting LLMs to your data
RAG is a technique that lets language models pull real-time information from databases or documents before answering a question. Instead of relying only on training data, the model retrieves fresh, specific info and uses it in its response. Think: AI customer-service agent querying your bank's account policies live.
WHY IT MATTERS
RAG is the workhorse pattern for enterprise AI in banking—credit-risk models, compliance Q&A, KYC workflows all use it to ground AI outputs in current, auditable sources.
Source: AITechHive · 2026-08-30