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:

hi @aherrera , We do not use dockerhub, well not to host our images. We store our code and Dockerfile in GitLab and build the images as required from there. ie. git clone some-project cd some-project docker build . -t some-project Hope that helps.

Yes it helps, thank you! I need to make a similar setup but I’ve never used Docker or Jenkins. Is there any link you could point me to that would help replicating this setup? I would need to know the number of virtual machines/servers needed, the number of images/containers in each environment and the deployment process from dev to prod.

can you share please share your data or stories ?

Hi, I am using rest channel to connect to rasa server from my website. In order to support concurrent user request, I need to change the sender id? How rasa can support concurrent request without docker

in the REST request you will have to send the “sender” attribute with the message … ie … { "message": "hello world", "sender": "hemamalini" } The sender can be anything so you could use the id you use to track the user session in your web app, or generate a guid when the page loads …

I am currently working on my master thesis, which deals with the topic of machine ethics in general and especially with ways to model ethical decisions in a machine-understandable manner. The task was to implement a chatbot that is able to collect information from users about ethical dilemmas and process them with regard to established ethical principles, namely deontology and utilitarism. This is for sure pretty challenging, as the structure of such a dialogue is rather complex. Also, as could be expected, the lack of training data is a prevalent problem. Serious testing requires some interest and familiarization with the topic and there are only a few people who took the time to look more closely into the bot and whose dialogues could be included in the dataset accordingly. At the moment, there is a prototype running at https://ethicbot.com/ which operates with a rather static dialogue structure. Currently, and for the remaining time of my thesis, I’m evaluating the bot’s performance and collect aspects to improve in a future version. Many dialogues by test users are derailed pretty quickly due to wrong classification, or because the bot is not able to deal with dialogues that deviate from his known patterns and the corresponding stories. Still, sometimes the concept works and meaningful dialogues come about, especially when users get used to the bot’s conversational style and get a feeling for the type of input the model works best with. Overall, implementing the bot with Rasa has been a precious experience which has taught me a lot about conversational AI, more than I can devote to the project in the remaining time. However, I am pretty sure that this won’t be my last project with Rasa as I have learned so much during development and also had a lot of fun.

@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)

Bots in production

Rasa Open Source

AGi (Himansu R Mehta) July 15, 2019, 3:25pm 46

Hi Souvik can you please share your LinkedIn profile. Will connect there and talk about our requirement.

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Bots in production

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