What is LangGraph?

We have explored how LangChain allows developers to build applications powered by large language models by chaining together a sequence of tasks—just like assembling a row of dominoes, where each task follows the previous one in a neat, predictable order. By now, we can confidently say that it’s brilliant for scenarios where we know exactly what steps to take.

But what if our application needs to be more flexible? What if the flow of tasks isn’t always linear but must adapt based on real-time inputs and changing conditions? This is where LangGraph comes in.

Introduction to LangGraph

LangGraph is a specialized library within the LangChain ecosystem, designed for building stateful systems, including multi-agent and non-agent systems, that handle complex, nonlinear workflows. While LangChain excels at creating linear chains of tasks, LangGraph uses a graph-based approach, allowing applications to dynamically adapt to varying inputs and conditions with greater flexibility.