DOC-768 | ArangoDB Platform Notebooks (#726)

* initial draft

* add quickstart

* notebook servers

* Remove mention of ArangoGraph, slightly change quickstart

* ArangoDB client tools not included in notebook-server image, only on ArangoGraph

---------

Co-authored-by: Simran Spiller <[email protected]>

Author: nerpaula

site/content/3.13/data-science/arangograph-notebooks.md

@@ -0,0 +1,52 @@
+---
+title: Notebook Servers
+menuTitle: Notebook Servers
+weight: 130
+description: >-
+  Colocated Jupyter Notebooks within the ArangoDB Platform
+aliases:
+  - arangograph-notebooks
+---
+{{< tag "ArangoDB Platform" >}}
+
+ArangoDB Notebooks provide a Python-based, Jupyter-compatible interface for building
+and experimenting with graph-powered data, GenAI, and graph machine learning
+workflows directly connected to ArangoDB databases. The notebook servers are
+embedded in the ArangoDB Platform ecosystem and offer a
+pre-configured environment where everything, including all the necessary services
+and configurations, comes preloaded. You don't need to set up or configure the
+infrastructure, and can immediately start using the GraphML and GenAI
+functionalities.
+
+The notebooks are primarily focused on the following solutions:
+- **GraphRAG**: A complete solution for extracting entities
+  from text files to create a knowledge graph that you can then query with a
+  natural language interface.
+- **GraphML**: Apply machine learning to graphs for link prediction,
+  classification, and similar tasks.
+- **Integrations** : Use ArangoDB together with cuGraph, NetworkX, and other
+  data science tools.
+
+<!-- TODO: Add links to corresponding pages -->
+
+The ArangoDB Notebooks include the following:
+- Automatically connect to ArangoDB databases and GenAI platform services
+- [Magic commands](../arangograph/notebooks.md#arangograph-magic-commands)
+  that simplify database interactions
+- Example notebooks for learning
+
+## Quickstart
+
+1. In the ArangoDB Platform web interface, expand **GenAI Tools** in the
+   main navigation and click **Notebook servers**.
+2. The page displays an overview of the notebook services.
+   Click **New notebook server** to create a new one.
+3. After your notebook service has been deployed, you can click the ID to start
+   interacting with the Jupyter interface.
+
+{{< tip >}}
+To get a better understanding of how to interact with ArangoDB using notebooks,
+open the `GettingStarted.ipynb` notebook from the file browser to learn the basics.
+{{< /tip >}}
+
+<!-- TODO: Add links to interactive tutorials? -->