Have you built a chatbot with Rasa that is now running in production? We would love to know more about it! Share with us what have you built, what were the biggest challenges when deploying it in production, what feedback do you get from the users of your bot, and anything else you would like to share. Your feedback and experience is what helps us improve Rasa Stack and we believe that your projects will inspire the community to build great chatbots! :slight_smile:

@alex38 your project sounds really cool! And having real conversations with people is always the best way to develop your bot’s conversational skills, it’s always surprising how people try to interact with a bot in ways you don’t expect :grinning_face_with_smiling_eyes: glad you had fun working with Rasa!

@AGi, you will find me here : https://www.linkedin.com/in/souvik-ghosh-aaa30470/

Migrated Bot-kit to RASA Stack(NLU and Core), and now it’s on production, it’s a healthcare chatbot, still facing some issue but, it’s better to make it happen and make it better with the time. The main problem that i’m facing are: handle user’s chit chat whenever and anywhere within the stories need to understand more about rasa built-in channel, right now use python script to serve the websocket connection to the chat widget use tracker properly to get all useful insight ( use dialogue tracker only now, without event broker) tried embedding pipeline, but it is too slow because i need a better instance also, and the stories are too many (for this particular bot in my opinion)

Hey everyone! We launched our chatbot on Saturday (using Rasa of course :blush:) Check it out on Messenger: m.me/jadelasvegas Jade is a Las Vegas personal assistant that recommends restaurants and bars on the strip. Our company is Black Tie, a Las Vegas bot startup. We would love to get the community’s feedback! We would also love to thank the Rasa team for making this possible. You guys are killing it and we will continue to support and leverage your stack in delivering the best Las Vegas chatbot. Chris Co-Founder | Black Tie

Hallo Harshitazilen! Thanks for sharing it. It gave me hope that I can use Rasa NLU and Rasa core for building a bot in production. Could you explainn me whether you have customized opensource dataset to the supported format of the Rasa or else you have created your own stories to train NLU and Core?

Hi ccelotto! It is really interesting that your resataurant and Bar recommendation bot using Rasa is on production. I am new to Rasa and I have to accomplish my Project using Rasa. Can you explain me whether you have trained Rasa NLU and Core by creating your own intents and stories or else have you customized any open source datasets to achieve it? Can you tell me Average number of turns in the conversations you have used in the stories to train Rasa Core? Have you used templates for NLG or else have you used pre-trained NLG models to create natural Responses?

How do we productionize Rasa? How to scale our Rasa application to handle 1000 of concurrent users? Can you please share the techniques and approaches for scaling the bot to handle more than 1000 concurrent user. Thanks in advance

As mentioned by @dadecoza, You just need to maintain and pass the session ID as sender key’s value in the request JSON. Session ID are generally maintained by your Web app.

Bots in production

Rasa Open Source

harshitazilen (Harshit Azilen) August 14, 2019, 12:11pm 53

I created my own intents and stories to train NLU and Core.

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Bots in production

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