i saw there is an experimental feature about Training Data Importers with multi project data importers to allow clean organisation of your training data (Training Data Importers)
tbh, i have heard this multi agent system many many times by various vendors and truth be told, this doesn’t work. Someone came up with it without taking into consideration any scalability aspect. We have tested with over 100 intents, and one model worked absolutely fine. If your problem is related to creating a knowledge base, there is a section for that also
You don’t want one predictive model calling another predictive model reducing your chances to get the correct answer even further. Ideally you should try to create one classifier(NLU) and split stories but train with the same architectures.
If it is absolutely neccessary to split the models into many, use different containers. train them with their lifecycle management, and use a shared tracker store perhaps