Reference quick start option in other playbooks

docs/getting_started.ipynb

@@ -17,7 +17,9 @@
         "\n",
         "Read more about the project here: https://llama-stack.readthedocs.io/en/latest/index.html\n",
         "\n",
-        "In this guide, we will showcase how you can build LLM-powered agentic applications using Llama Stack.\n"
+        "In this guide, we will showcase how you can build LLM-powered agentic applications using Llama Stack.\n",
+        "\n",
+        "**💡 Quick Start Option:** If you want a simpler and faster way to test out Llama Stack, check out the [quick_start.ipynb](quick_start.ipynb) notebook instead. It provides a streamlined experience for getting up and running in just a few steps.\n"
       ]
     },
     {

docs/getting_started_llama4.ipynb

@@ -17,7 +17,9 @@
         "\n",
         "Read more about the project here: https://llama-stack.readthedocs.io/en/latest/index.html\n",
         "\n",
-        "In this guide, we will showcase how you can get started with using Llama 4 in Llama Stack.\n"
+        "In this guide, we will showcase how you can get started with using Llama 4 in Llama Stack.\n",
+        "\n",
+        "**💡 Quick Start Option:** If you want a simpler and faster way to test out Llama Stack, check out the [quick_start.ipynb](quick_start.ipynb) notebook instead. It provides a streamlined experience for getting up and running in just a few steps.\n"
       ]
     },
     {

docs/getting_started_llama_api.ipynb

@@ -17,7 +17,9 @@
           "\n",
           "Read more about the project here: https://llama-stack.readthedocs.io/en/latest/index.html\n",
           "\n",
-          "In this guide, we will showcase how you can get started with using Llama 4 in Llama Stack.\n"
+          "In this guide, we will showcase how you can get started with using Llama 4 in Llama Stack.\n",
+          "\n",
+          "**💡 Quick Start Option:** If you want a simpler and faster way to test out Llama Stack, check out the [quick_start.ipynb](quick_start.ipynb) notebook instead. It provides a streamlined experience for getting up and running in just a few steps.\n"
         ]
       },
       {

docs/quick_start.ipynb

@@ -359,7 +359,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.10.13"
+      "version": "3.10.6"
     }
   },
   "nbformat": 4,

docs/source/getting_started/index.md

@@ -8,6 +8,8 @@ environments. You can build and test using a local server first and deploy to a
 In this guide, we'll walk through how to build a RAG application locally using Llama Stack with [Ollama](https://ollama.com/)
 as the inference [provider](../providers/inference/index) for a Llama Model.
 
+**💡 Notebook Version:** You can also follow this quickstart guide in a Jupyter notebook format: [quick_start.ipynb](https://github.com/meta-llama/llama-stack/blob/main/docs/quick_start.ipynb)
+
 #### Step 1: Install and setup
 1. Install [uv](https://docs.astral.sh/uv/)
 2. Run inference on a Llama model with [Ollama](https://ollama.com/download)