Metadata plays a important role in TFX (TensorFlow Extended) pipelines, serving as a vital component for managing and tracking the various stages of the machine learning (ML) engineering process. In the context of TFX, metadata refers to the information about the data, models, and pipeline components that are used during the ML workflow. This metadata