Hello,
I had a general question about lookup tables in Rasa that how many examples can we provide for a particular entity. If we provide a huge amount of examples (Let’s say more than 50k examples), will the model become slow after training?
Welcome to the community, Ramesh! 
More entries in the table will indeed slow down the training.
If your lookup table is an exhaustive list of all possible values for an entity, then I would go for it, even if it has 50k entries. I used one with 100k.
Anyway, you can still compare training time with and without the lookup, and it would be interesting if you could share your findings
Hello @ChrisRahme
Thank you so much for the warm welcome and quick response 
Apart from the time it costs for training the model, will it cause the prediction to run slow while testing the trained model?
PS: I will be more than happy to share my findings 
1 Like
No, speaking from experience, once the model is created, prediction speed won’t be affected
Or maybe I’m wrong, but if that’s the case, it means the change in speed is really unnoticeable.
1 Like
Thanks a lot for the answer @ChrisRahme. It was really helpful
1 Like
Glad to be of help!
1 Like