LangGraph Dialog Orchestration

Description

Uses LangGraph to define and execute stateful, multi-step AI conversation flows as directed graphs. Each node in the graph represents a dialog step — intent detection, slot filling, API call, or human escalation — enabling complex branching conversations that maintain context across turns.

Canonical use case

A bank deploys a LangGraph-orchestrated bot to handle account balance enquiries and fund transfers, with conditional branches for authentication challenges and fraud checks before executing any transaction.