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
