LangGraph

LangGraph.

Framework for building stateful, multi-actor AI applications with cycles and conditional logic.

By LangChain

What is LangGraph?

LangGraph is a framework from LangChain for building stateful, multi-actor AI applications with cycles and conditional logic. Unlike simple chains, LangGraph supports complex workflows with branches, loops, and parallel execution. It is the standard for building advanced AI agents that go through multiple steps and decisions.

How Motran uses LangGraph.

Motran builds complex multi-agent systems with LangGraph for tasks too complex for simple chains. We design stateful workflows where AI agents collaborate, share information, and make decisions based on intermediate results. LangGraph's graph-based architecture enables building robust, fault-tolerant AI systems.

How LangGraph adds value.

Multi-agent systems

Multi-agent systems: multiple AI agents work together in a coordinated workflow, each with their own specialisation and role.

Complex AI workflows

Complex AI workflows: workflows with branches, loops, and conditional logic are modelled as a graph for maximum flexibility.

Stateful conversations

Stateful conversations: conversations with AI maintain context and state across multiple interactions, leading to more coherent and relevant answers.

Sector benefits.

LangGraph is crucial for technology companies developing advanced AI agents and products, and for enterprises wanting to automate complex business processes with AI. Organisations with multi-step decision-making processes, such as in financial services and supply chain management, particularly benefit from LangGraph's capabilities.

Frequently asked questions.

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