LangGraph: Visual Workflows for GenAI

As GenAI workflows grow in complexity, developers need ways to visualize, compose, and debug models, retrievers, and tools.

What Is LangGraph?

LangGraph lets you define and visualize AI workflows as nodes and edges — making complex logic easier to reason about.

Simple Graph Example

import { LangGraph } from 'langchain/graphs'

const graph = new LangGraph()
graph.addNode("embed", { model: "openai-embeddings" })
graph.addNode("query", { model: "gpt-4o" })
graph.addEdge("embed", "query")

When It Helps Most

LangGraph shines in multi-stage pipelines, cross-service flows, and hybrid retrieval + generation systems.

Summary

Adding a visual layer to GenAI logic unlocks clarity and maintainability.