Building a multi-channel chatbot with Rasa

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Kubernetes… I see.

At present, what I am trying to do is: to have 2 models: One for English and another for Chinese.

Since I am quite new to Rasa and Kubernetes, and additionally since I need to create a website that website visitors who are interested in our business chatbot service can register and create their own business chatbot on the fly (hope that doesn’t conflict with your company business, I am on the other side of the planet :smiley: ).

My ideas is this:

Website visitor <—> Channel (FB, Website) <—> Botpress <—> Rasa (Core + NLU (Spacy or Stanford NLP))

So, if you don’t mind:

  • What do you think about this architecture? Is it how I should use Rasa?
  • When you say using Kubernetes, are you using KB to host BOTH Botpress and RASA? Or others?
  • If the above architecture is reasonable, what do you think that is the biggest bottleneck/challenge regarding this architectures?
  • Do you have any online resources (books, video etc) that I can refer to so that I can build something like above, using Kubernetes, Rasa and Botpress?

Thank you very much in advance for your explanation.