support for training data fetched from DB

I like this idea, suggested by @3x14159265 of being able to load training data from a DB rather than a json file. Primarily because a DB is a more flexible & robust way to store that data, and not because of performance.

If possible, I don’t want rasa NLU to dictate what database people use to store their stuff. So maybe we can create an abstract TrainingDataLoader class, from which everything else derives, including the ones which read json files. Then users can subclass that to read from whichever DB they like.

[dinal24]

Hey @tmbo Thanks for the insights!

I’d like to keep that and rather separate model persistence and data loading

I think in this case, we do something like introducing AbstractDataLoader which gets implemented for loading training data from file-system or mongo-db.AbstractPersistor for persistance will include, aws, gcs, & mongo-db (no change in the current implementation except, introducing a mongo-db class).

[anushka17agarwal]

Can we find these updates and how to use them in the documentation?