How to use a database to store trained NLU Data instead of generating a flat file traning_data.json

Getting Started with Rasa
1

Is it possible to store training data into a Database (preferably MongoDB) when I train the RASA NLU using rasa_core.run and use the same database to verify user intent instead of generated training_data.json file? Thanks in advance!

2

Hm, we use the databases to store the conversations usually. Why do you want to use a DB for nlu data?

3

For security and Scalability point of view we would like to store the trained data into MongoDB. Is it possible?. FYI… I am aware of MongoTracker store for conversation But I want to store trained data. Also is it possible to store the intent and stories into the database? Thanks in advance.

4

So at the moment, it’s not possible out of the box to load the data from a DB. However there is actually a PR open for this – we will be abstracting the data-loading process so that you can write your own data importers for a use case like this. Check out the PR here. Of course, it’s still an open PR, so it’ll be a little while before it is in a released version.

5

Hope it will be implemented soon. Thank you for quick response.

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