Synthetic Data Workflow

Users start by defining their use case in detail, which is crucial for effective synthetic data generation. A knowledge graph is then created to visualize the topics covered, allowing for adjustments before moving on to the schema builder. This tool helps users define variables and arrange them in a template, streamlining the process of generating the desired output from the model.