Building an Enterprise-Grade Bank Policy Assistant with LangGraph: Multi-Agent RAG with Memory and State

Before diving into the architecture, let’s address the core question regarding Chain-of-Thought (CoT) and Few-Shot Prompting: Factualness: Both techniques significantly improve factual accuracy in complex domains like banking. CoT forces the model to "show its work," reducing hallucinations by breaking down logical steps (e.g., "First, check the customer's tenure; second, verify the loan type..."). Few-Shot provides concrete examples of correct reasoning patterns, anchoring the model to specific compliance standards.