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docs: get started with langgraph platform (#2469)

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Eugene Yurtsev
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# Tutorials
Welcome to the LangGraph Tutorials! These notebooks introduce LangGraph through building various language agents and applications.
New to LangGraph or LLM app development? Read this material to get up and running building your first applications.
## Quick Start
## Get Started 🚀 {#quick-start}
Learn the basics of LangGraph through a comprehensive quick start in which you will build an agent from scratch.
- [LangGraph Quickstart](introduction.ipynb): Build a chatbot that can use tools and keep track of conversation history. Add human-in-the-loop capabilities and explore how time-travel works.
- [LangGraph Server Quickstart](langgraph-platform/local-server.md): Launch a LangGraph server locally and interact with it using the REST API and LangGraph Studio Web UI.
- [LangGraph Cloud QuickStart](../cloud/quick_start.md): Deploy a LangGraph app using LangGraph Cloud.
- [Quick Start](introduction.ipynb): In this tutorial, you will build a support chatbot using LangGraph.
- [LangGraph Cloud Quick Start](../cloud/quick_start.md): In this tutorial, you will build and deploy an agent to LangGraph Cloud.
## Use cases 🛠️
## Use cases
Learn from example implementations of graphs designed for specific scenarios and that implement common design patterns.
Explore practical implementations tailored for specific scenarios:
### Chatbots
- [Customer Support](customer-support/customer-support.ipynb): Build a customer support chatbot to manage flights, hotel reservations, car rentals, and other tasks
- [Prompt Generation from User Requirements](chatbots/information-gather-prompting.ipynb): Build an information gathering chatbot
- [Code Assistant](code_assistant/langgraph_code_assistant.ipynb): Build a code analysis and generation assistant
- [Customer Support](customer-support/customer-support.ipynb): Build a multi-functional support bot for flights, hotels, and car rentals.
- [Prompt Generation from User Requirements](chatbots/information-gather-prompting.ipynb): Build an information gathering chatbot.
- [Code Assistant](code_assistant/langgraph_code_assistant.ipynb): Build a code analysis and generation assistant.
### RAG