Tutorials

Welcome to the LangGraph Tutorials! These notebooks introduce LangGraph through building various language agents and applications.

Quick Start

Learn the basics of LangGraph through a comprehensive quick start in which you will build an agent from scratch.

• Quick Start

Use cases

Learn from example implementations of graphs designed for specific scenarios and that implement common design patterns.

Chatbots

• Customer support with a small model

RAG

• Agentic RAG
• Corrective RAG
• Self-RAG

Multi-Agent Systems

• Collaboration: Enabling two agents to collaborate on a task
• Supervision: Using an LLM to orchestrate and delegate to individual agents
• Hierarchical Teams: Orchestrating nested teams of agents to solve problems

Planning Agents

• Plan-and-Execute: Implementing a basic planning and execution agent

Reflection & Critique

• Basic Reflection: Prompting the agent to reflect on and revise its outputs
• Rewoo: Reducing re-planning by saving observations as variables

Evaluation

• Agent-based: Evaluate chatbots via simulated user interactions