How to Use LangChain and LangGraph: A Beginner’s Guide to AI Workflows
SMRTR summary
LangChain and LangGraph are open-source frameworks for building AI applications powered by large language models. LangChain creates linear workflows by chaining prompts and tools together, while LangGraph uses a graph-based approach with nodes and edges that allows for loops, branching, and memory between steps. LangChain works well for simple tools like chatbots and summarizers, but LangGraph is better for complex agents that need reasoning and adaptation. Both frameworks integrate with LangSmith for monitoring performance.
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