This is the technical reference of graphext's steps, essentially our "API". It describes the interfaces of our data wrangling functions, which you can use to write recipes (i.e. data pipelines, workflows, or DAGs for the more technically-inclined).
Here you'll find information about the expected inputs, outputs and configuration parameters for each of our supported recipe steps.
For more general information about specific use cases, usage guides, and frequently asked questions see our help center.
The help center's technical docs section also contains advanced guides and in-depth information related to
- the kind of data formats we support
- the languages you can process using our NLP steps
- the approaches you can use to create graphs or layouts of your data
- the advanced query language you can use to manually segment your data