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Eugene Yurtsev
2024-11-22 14:42:36 -05:00
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docs/docs/concepts/template_applications.md
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@@ -4,8 +4,18 @@ Templates are open source reference applications designed to help you get starte
You can create an application from a template using the LangGraph CLI.
!!! info "Requirements"
## Available templates
- Python >= 3.11
- [LangGraph CLI](https://langchain-ai.github.io/langgraph/cloud/reference/cli/): Requires langchain-cli[inmem] >= 0.1.58
## Install the LangGraph CLI
```bash
pip install "langgraph-cli[inmem]==0.1.58" python-dotenv
```
## Available Templates
| Template | Description | Python | JS/TS |
|---------------------------|------------------------------------------------------------------------------------------|------------------------------------------------------------------|---------------------------------------------------------------------|
@@ -16,24 +26,37 @@ You can create an application from a template using the LangGraph CLI.
| **Data-Enrichment Agent** | An agent that performs web searches and organizes its findings into a structured format. | [Repo](https://github.com/langchain-ai/data-enrichment) | [Repo](https://github.com/langchain-ai/data-enrichment-js) |
## 🌱 Create a LangGraph App
To create a new app from a template, use the `langgraph new` command. This command will create a new directory with the specified template.
```shell
This is a quick start guide to help you get a LangGraph app up and running locally.
!!! info "Requirements"
- [LangGraph CLI](https://langchain-ai.github.io/langgraph/cloud/reference/cli/): Requires langchain-cli[inmem] >= 0.1.58
## Install the LangGraph CLI
To create a new app from a template, use the `langgraph new` command.
```bash
pip install "langgraph-cli[inmem]==0.1.58" python-dot-env
langgraph new
```
## Next Steps
Review the `README.md` file in the root of your new LangGraph app for more information about the template and how to customize it.
After configuring the app properly and adding your API keys, you can start the app using the LangGraph CLI:
```bash
langgraph dev
```
See the following guides for more information on how to deploy your app:
- **[Launch Local LangGraph Server](../tutorials/langgraph-platform/local-server.md)**: This quick start guide shows how to start a LangGraph Server locally for the **ReAct Agent** template. The steps are similar for other templates.
- **[Deploy to LangGraph Cloud](../cloud/quick_start.md)**: Deploy your LangGraph app using LangGraph Cloud.
### LangGraph Framework
- **[LangGraph Concepts](../../concepts)**: Learn the foundational concepts of LangGraph.
- **[LangGraph How-to Guides](../../how-tos)**: Guides for common tasks with LangGraph.
### 📚 Learn More about LangGraph Platform
Expand your knowledge with these resources:
- **[LangGraph Platform Concepts](../concepts/index.md#langgraph-platform)**: Understand the foundational concepts of the LangGraph Platform.
- **[LangGraph Platform How-to Guides](../how-tos/index.md#langgraph-platform)**: Discover step-by-step guides to build and deploy applications.
docs/docs/tutorials/index.md
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@@ -13,7 +13,7 @@ New to LangGraph or LLM app development? Read this material to get up and runnin
- [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.
- [Start from a ](../concepts/template_applications.md): Use a template to quickly create a new LangGraph application.
- [LangGraph Template Quickstart](../concepts/template_applications.md): Quickly start building with LangGraph Platform using a template application.
## Use cases 🛠️