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:

Hello , I was finding the way to deploy rasa on windows without using docker , but i didn’t get anything anywhere then i find a customized way to do such thing. Install RASA create custom actions Create windows service to start and stop RASA/RASA action server so that it should be easy to maintain server. Train rasa model using the csv by updating YML files using the custom action itself. create a html and using rest i connected it with rasa server. How it work as https url ? make your rasa server localhost url https using apache virtualhost entry. In the same way you can host your ui URL too. For me it is working fine. please let me know any better way if it is available. Thanks, Lalit Chaturvedi

Hello everyone. I have already run in production a few chatbots, and now I am starting to do some freelance job. But I don’t now how to do an hour estimation project. Anybody has any advice? How do you usually do a proposal document? Any advice is wellcome. Thanks in advance.

I’m building a commercial AI assistant using Rasa and I’m looking for AI assistant/chatbot specialists who have good experience with Rasa stack to help me. Please contact me

@hemamalini Rasa can only wait for 5 seconds while it was in some actions running so you can have a seperate flask app to maintain it

criada.in is using rasa to build their chatbots :slight_smile: We will release our bot very soon, I’ll link it here

Hey, I’m new in this forum, to the topic, and to the programming itself. It’s been only few months since I started learn to code (python only). I took some online certification courses and ended up having heard about the chatbots, the idea of which I liked very much. So, in my understanding I first need to install the open source -not the x- to be able to work with the chatbot I created using Rasa packs which I will be configuring based on my own preferences. I’m wondering if there’s anything else I need to know before starting. I appreciate the response.

Hello Juste, We developed an AI chtabot for our firm. It is in beta testing phase. We have used both RASA NLU and RASA CORE. Rasa version - 1.10.12 Our front end is - Company Messenger App We have hosted a web server on Django framework as a bridge between Company Messenger Server and Rasa server. The amount of users i am handling at one time is still not efficient. Can u tell me how shall i deploy it so that i can handle 200 users at a time. Currently what i have done i am telling u- I started Actions Server , Rasa models server From webserver which is hosted on django i am calling rasa models server via REST api.

My bot is running in production from last 3 months I can say it is a massive bot trained on 90k training data, 150+ intents, around 2lakh entities. You can find it on https://www.callhealth.com myHealthCHat V1 CallHealth's chatbot in production - Using Rasa in backend - YouTube [Screenshot_2021-07-27-06-17-24-607_com.android.chrome] [Screenshot_2021-07-27-06-18-07-845_com.android.chrome]

My family runs a small software business and we put Rasa into production about two months ago to help field FAQ related support questions. At the time of writing we are up to about 2,813 examples across 296 intents and it’s working very well! Shout-out to @rctatman , @Juste , @koaning , and the Rasa team for your amazing suite of helpful content which enabled us to get up and running. Our bot’s name is Juliet and she can be found here: http://juliet.affirmatech.com The model is primarily one very large ResponseSelector centered around the domain of our Amateur Radio logging software. There is one story, however, for collecting a user’s information via a Rasa form in order to resend their registration details in the event it is lost or forgotten. I wrote a custom web interface using Python and Flask to serve both as a means for user interaction as well as a quick way for us to classify examples into their corresponding intent. Rasa X would have worked just as well, but I liked the challenge :slight_smile: [image] For fun, I also wrote a quick Discord bot interface and its come in handy. [image] Thanks again to the Rasa team for making Juliet possible!

That’s great to hear! grats on the launch :slight_smile:

Bots in production

Rasa Open Source

ashok5451chicha (Ashok5451chicha) March 9, 2022, 5:54am 111

@Juste i am just trying move the developed bot to production can you let me know the practical server,hardware,os,memory requirements for 10000 users concurrency at once.

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