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Showing content from https://langchain-ai.github.io/langgraphjs/tutorials/ below:

Tutorials

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

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

• Quick Start
• Common Workflows: Overview of the most common workflows using LLMs implemented with LangGraph.
• LangGraph Cloud Quick Start: In this tutorial, you will build and deploy an agent to LangGraph Cloud.

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

• Customer support with a small model

• Agentic RAG
• Corrective RAG
• Self-RAG

• 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

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

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

• Agent-based: Evaluate chatbots via simulated user interactions

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