LEARNER · GLOBAL
RAG (Retrieval-Augmented Generation): grounding AI answers in real data
RAG is a technique that lets AI models fetch relevant documents or data from a database before answering a question, rather than relying only on what they learned during training. Think: ChatGPT with access to your bank's live transaction ledger, so it gives accurate, current advice instead of generic training-based responses.
WHY IT MATTERS
RAG is the backbone of enterprise AI in BFSI—fraud detection, KYC, compliance Q&A all use it. Choosing the right vector database and retrieval strategy directly impacts latency, accuracy, and regulatory auditability.