Set up GraphML
You can use GraphML straight within the Arango Contextual Data Platform, via the web interface or via Notebooks
Web interface versus Jupyter Notebooks
The Arango Contextual Data 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 Arango Contextual Data 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 Notebook servers run within the Arango Contextual Data Platform. They offer 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.
- Accessible at all levels
- Low code UI
- Notebooks
- APIs
- Full usability
- MLOps lifecycle
- Metrics
- Metadata capture
- Model management