Building a LangGraph pipeline for production data engineering

LangGraph is a framework for building stateful, multi-step AI workflows organized as graphs with nodes and edges, featuring state management, checkpointing, and human-in-the-loop capabilities. However, the article cautions that its growing popularity leads many teams to adopt it by default without evaluating whether their problem actually requires graph-based orchestration rather than simpler alternatives like plain Python, Airflow, or Prefect. LangGraph is most appropriate for complex workflows with conditional routing based on previous outputs, multiple interdependent AI calls, human review gates, and runtime adaptability—not for deterministic, static workflows or simple single-call tasks.