LangGraph vs LangChain in 2026: When Each Wins

Short summary

A practical decision framework for choosing between LangGraph and LangChain, anchored in a real 19-node finance pipeline. LangChain suits linear workflows with simple input-output chains, while LangGraph excels at branching, loops, retry policies, and shared state management. The article covers conditional routing, parallel execution, and state passing with concrete examples from a trade-capture-to-P&L workflow.

• •LangChain is best for linear, single-input-output workflows with no branching
• •LangGraph handles conditional routing, retries, parallel execution, and shared state
• •A 19-node finance pipeline demonstrates when graph abstractions reduce boilerplate vs. add complexity

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