ArangoDB v3.13 is under development and not released yet. This documentation is not final and potentially incomplete.

How to get started with GraphML

You can use GraphML straight within the ArangoDB Platform, via the web interface or via Notebooks

ArangoDB Platform

Web interface versus Jupyter Notebooks

The ArangoDB Platform provides enterprise-ready Graph Machine Learning in two options, tailored to suit diverse requirements and preferences:

Using the web interface
In a scriptable manner, using the integrated Jupyter Notebooks and the HTTP API for GraphML

Setup

The web interface of the ArangoDB Platform allows you to create, configure, and run a full machine learning workflow for GraphML. To get started, see the Web interface for GraphML page.

The ArangoDB Notebooks service runs on the ArangoGraph Insights Platform . It offers a pre-configured environment where everything, including necessary components and configurations, comes preloaded. You don’t need to set up or configure the infrastructure, and can immediately start using the GraphML functionalities in a scriptable manner. To get started, see the GraphML Notebooks & API reference documentation.

To get access to GraphML services and packages in ArangoGraph Insights Platform, get in touch with the ArangoDB team.

Accessible at all levels
- Low code UI
- Notebooks
- APIs
Full usability
- MLOps lifecycle
- Metrics
- Metadata capture
- Model management

ArangoGraphML Pipeline