docs: Add quick_start.ipynb notebook equivalent of index.md Quickstart guide (#2128)

# What does this PR do?
- Adding a notebook equivalent of the
[getting_started/index.md#Quickstart
guide](https://github.com/meta-llama/llama-stack/blob/main/docs/source/getting_started/index.md).


## To discuss

**Note:** works locally, but I am encountering issues when attempting to
run through the notebook on Google Colab. Specifically, on the last step
to run the demo, the `knowledge_search` tool doesn't seem to be called
i.e.,:
```
rag_tool> Ingesting document: https://www.paulgraham.com/greatwork.html
prompt> How do you do great work?
inference> I don't have personal experiences or emotions, but I was trained on a large corpus of text data and use various techniques such as natural language processing (NLP) and machine learning algorithms to generate human-like responses.

```


I would expect to get something like:
```
rag_tool> Ingesting document: https://www.paulgraham.com/greatwork.html
prompt> How do you do great work?
inference> [knowledge_search(query="What is the key to doing great work")]
tool_execution> Tool:knowledge_search Args:{'query': 'What is the key to doing great work'}
tool_execution> Tool:knowledge_search Response:[TextContentItem(text='knowledge_search tool found 5 chunks:
....
....
```

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)