diff --git a/site/content/3.13/data-science/arangograph-notebooks.md b/site/content/3.13/data-science/arangograph-notebooks.md deleted file mode 100644 index 34ca9529be..0000000000 --- a/site/content/3.13/data-science/arangograph-notebooks.md +++ /dev/null @@ -1,22 +0,0 @@ ---- -title: ArangoGraph Notebooks -menuTitle: ArangoGraph Notebooks -weight: 130 -description: >- - Colocated Jupyter Notebooks within the ArangoGraph Insights Platform ---- -{{< tip >}} -ArangoGraph Notebooks don't include the ArangoGraphML services. -To enable the ArangoGraphML services, -[get in touch](https://www.arangodb.com/contact/) -with the ArangoDB team. -{{< /tip >}} - -The ArangoGraph Notebook is a JupyterLab notebook embedded in the -[ArangoGraph Insights Platform](https://dashboard.arangodb.cloud/home?utm_source=docs&utm_medium=cluster_pages&utm_campaign=docs_traffic). -The notebook integrates seamlessly with the platform, -automatically connecting to ArangoGraph services and ArangoDB. -This makes it much easier to leverage these resources without having -to download any data locally or to remember user IDs, passwords, and endpoint URLs. - -For more information, see the [Notebooks](../arangograph/notebooks.md) documentation. diff --git a/site/content/3.13/data-science/notebook-servers.md b/site/content/3.13/data-science/notebook-servers.md new file mode 100644 index 0000000000..b40a2127d6 --- /dev/null +++ b/site/content/3.13/data-science/notebook-servers.md @@ -0,0 +1,53 @@ +--- +title: Notebook Servers +menuTitle: Notebook Servers +weight: 130 +description: >- + Colocated Jupyter Notebooks within the ArangoDB Platform +aliases: + - data-science/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 ArangoGraph 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. + + + +The ArangoDB Notebooks also include the following services and tools: +- Automatically connect to ArangoDB databases and GenAI platform services +- [Magic commands](../arangograph/notebooks.md#arangograph-magic-commands) + that simplify database interactions +- [ArangoDB CLI Tools](../components/tools/) included in each Notebook server + to interact with ArangoDB from the command line + +## Quickstart + +1. In the ArangoDB Platform web interface, select a database. +2. Under **GenAI Tools**, click **Notebook servers**. +3. The **Notebook servers** page displays an overview of the notebook services. Click + **New notebook server** to create a new one. +4. After your notebook service is launched, you can start interacting with the + Jupyter interface. + +{{< tip >}} +To get a better understanding of how to interact with ArangoDB, use +the `GettingStarted.ipynb` template from the file browser. +{{< /tip >}} + + \ No newline at end of file