LangChain vs LangGraph: A Beginner’s Guide to Building Smarter AI Workflows
SMRTR summary
LangChain provides a framework for building linear AI workflows by connecting language models, prompts, and tools in sequential chains, making it ideal for simple applications like chatbots and text summarizers. LangGraph extends this concept by introducing graph-based structures that enable branching, loops, and memory, allowing developers to create more sophisticated AI agents that can reason, adapt, and handle complex decision-making processes.
SMRTR provides this summary for quick context. The original article belongs to Hacker Noon.
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