Learn how to get started with Agentic AI in LangGraph. Build structured, reliable agents step by step with states, nodes, and workflows.

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LangGraph is an open-source framework built on LangChain that enables developers to create structured, reliable agentic AI systems using graph-based workflows. Unlike traditional chatbots that provide static responses, agentic AI can reason through problems, make autonomous decisions, and execute multi-step actions. The framework represents AI workflows as nodes (tasks like reasoning or tool usage) connected by edges (decision flows), providing better control and predictability than linear approaches. The tutorial covers setting up LangGraph, building basic agent workflows with state management, and demonstrates practical examples including a calculator agent and a search-enabled reasoning system.

Getting Started with Agentic AI in LangGraph

Setting Up Your Environment for an Agentic AI Project in LangGraph