DAG与Langraph节点的比较

The necessity of LangGraph nodes in a Directed Acyclic Graph (DAG) representing tasks and their dependencies is a subject of discussion. LangGraph nodes are particularly valuable when dealing with flows that involve cycles, such as loops, retries, human-in-the-loop (HITL) resumes, and conditional branching back to earlier steps. A pure DAG structure lacks these features, which highlights LangGraph's core value in managing complex process logic, offering greater flexibility and scalability. In scenarios requiring dynamic adjustments and intricate control flows, LangGraph nodes become indispensable.