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docs/docs/concepts/template_applications.md

@@ -1,9 +1,5 @@
 # Template Applications
 
-!!! note Prerequisites
-
-    - [LangGraph Studio](./langgraph_studio.md)
-
 Templates are open source reference applications designed to help you get started quickly when building with LangGraph. They provide working examples of common agentic workflows that can be customized to your needs.
 
 You can create an application from a template using the LangGraph CLI.
@@ -18,3 +14,26 @@ You can create an application from a template using the LangGraph CLI.
 | **Memory Agent**          | A ReAct-style agent with an additional tool to store memories for use across threads.    | [Repo](https://github.com/langchain-ai/memory-agent)             | [Repo](https://github.com/langchain-ai/memory-agent-js)             |
 | **Retrieval Agent**       | An agent that includes a retrieval-based question-answering system.                      | [Repo](https://github.com/langchain-ai/retrieval-agent-template) | [Repo](https://github.com/langchain-ai/retrieval-agent-template-js) |
 | **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
+
+```bash
+pip install "langgraph-cli[inmem]==0.1.58" python-dot-env
+```
+
+
+

docs/docs/tutorials/index.md

@@ -13,6 +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.
 
 ## Use cases 🛠️