Special thanks to my hard-working guys at Vocinity, Inc. Taha, Muneeb, and Abdul.
Looks awesome @sipvoip! Looking forward to hearing more about it at the meetup in NYC!
It seems really very natural.
hi,I am a beginner.I want to know Where is the data used by rasa? In what form is it stored, is it binary or something else?
Data is stored in stories.md and nlu_data.md, with lookup tables being used for menu items and condiments.
Ok, thank you for your reply.
May I ask how you managed the NER? You have a lot of custom product names and specification like Coke (light Ice) and I wonder how you have trained the NER for that.
There are two different entities for the product name and any “special instruction” you want to capture with the product. Its something like “I’ll have a [coke](menu_item) and please [no ice](special_instruction)”
There goes my old job!
Have you managed that with NER_CRF or did you used a custom NER?
Wow, tried once from the order app on apknite, but this seem work great. Thanks so much.
Just plain NER_CRF
@sipvoip Hello Sir, it’s a nice rasa chatbot. Can you please tell me how to make ui for this? If Possible can you give me a links ya any doc ya any idea for how make ui for chatbot? Thanks in advance.
Great work! Could you please tell us how you managed the slots and how many actions did you make? Did you use forms? I would like to have an idea of the overview so that I can put together a similar concierge bot for e-commerce.