There are 84 nodes that can be used as successor
for a node with an output port of type Python Binary.
Creates an agent tool from a vector store.
The loop end node for an active learning loop.
The loop start node for an active learning loop.
This node generates forecasts with a (S)ARIMA Model.
This node generates forecasts with a (S)ARIMAX Model.
The Presidio Deanonymizer node deanonymizes PII in text data.
Regression Predictor
Classification Predictor
Run R code with a pre-trained R model on a Microsoft SQL Server in a database.
Merges two or more branches with arbitrary models which were initially created by an IF or CASE Switch Node.