Hi there, just wondering if its possible to have nlu (intents) and stories loaded from a database?
Scenario is if you wanted your chatbot to be more open-domain, so have a large list loaded from a database … is there a limit in Rasa around this?
During the training or at inference (runtime)?
I have a similar (I suspect) question - is it possible to update the domain.yml file programmaticaly (via an API) at training time to add intents, entities, slots, etc?
My use case is having a set of data sources in the actions.py file and wanting to automatically update objects in the domain.yml file (especially intents) based on the initial parsing of the data sources in Python. A different use case than the original poster, but I suspect that the main requirement to update Rasa control files (domain.yml, nlu.md, stories.md) programmatically is the same.
During training
@vimalnar @ryanmark You will want to write your own Training Data Importers. There is also a blog post which explains it a bit more: Customize how Rasa imports training data