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:

I would like to know the same things. Did you find answers to your questions? (1- What are the server requirements in terms of RAM, OS and Memory for a bot that has to handle around 100 users at a time when it is live. 2- What about scaling? Will a single instance of my bot be able to handle all the queries or do i have to use things like docker or wsgi(my front end is in Flask).)

For model evaluation, we’ve found QBox.ai very helpful

We have started doing a poc on rasa stack in our company . Our intention is to handle customers through various channels like voice,mail,sms using Rasa as a backend. We found it can solve our problem . So I gave a demo to my manager 2 days back. He is happy with rasa but he asked me the below questions , Can someone help me to find the answers - Is it possible to implement sentiment analysis ? If yes then how ? How many requests can be handle by Rasa core and NLU at a time ? Is it comparable to Google Dialogflow ? Thanks in advance.

Sorry for the late reply. My bot is live for ore than a month now and is being used by a lot more than 100 users. Here are the answers to your questions: I opted for ubuntu server with 15GB RAM(though i read that 2GB was sufficient) and memory of 250GB (again taking more than required). Nopes, I believe the scaling is built-in in RASA. Even my front-end is on FLASK and i am able to handle multiple users along with different sessions for each user without any explicit scaling.

hi all, I am also having problem connecting telegram to rasa-core. My server is ok connecting with Slack but just not working with telegram. I followed the setting under the Chat and Voice platforms here ( Chat & Voice platforms ) nothing seems to work for telegram. Any advice is deeply appreciated.

For an answer to 3, I would say the following : Dialogflow requires a minimal amount of training data, but you need to do everything in their UI and it’s not very flexible in terms of how do you manage your bot. It has the advantage that it requires minimal understanding of AI and very little work, but if you need to justify how good your bot actually is, you’re going to just rely on Google’s brand and not much else. Rasa, on the other hand, gives you more power, and with more power comes more responsibility, i.e. the learning curve is steeper but you end up with a much better bot, in my opinion.

I am trying to integrate Rasa chatbot to rest webapp . I am new to RASA. i have built a bot to trigger the rest call that will take some time to complete the response back .How can i handle such cases where response might take some time . There will be more than 20 users initially for the application . So how can i respond back to the user who initiated that rest call to a web application. Rasa bot can talk to nearly 5 different web applications and how can i present the response back

Our bot have recently been deployed to production! We use the docker containers and I find it to be the easiest way to deploy the Rasa stack. We currently have 20 custom actions integrating to various systems using Oracle DB, MSSQL, LDAP, REST, AMQP (RabbitMQ) … We use Git for version control and Jenkins with shell scripts to bring down the containers run the train scripts and spin up the bot when new code is pushed. Our biggest challenge is to gather intents from the users. Users will type in any nonsense :stuck_out_tongue: . Every morning we pull the logs and check what users entered the previous day and where the bot were unable to help them, based on that we write intents to cater for those requests (even if the bot cant help them we at least point them to someone who can). If the bot don’t understand the intention after two tries it will notify a human to assist the user. So far it has been a fun journey and we are getting good feedback. Some features … Log a request in our ITSM tool (Remedy) Query your open and closed requests Get incident details Submit suggestions Request temporary admin access to your device FAQ for the general questions (setup email, configure printer, setup vpn …) Search for contact details in the company address book View your organization structure View your company profile Find the owner of a device based on asset tag Put you in contact with a human if the bot can’t help …

Hey @dadecoza . Sounds awesome and congrats on deploying your assistant in production! Is it possible to try it out somewhere? :slight_smile: Also, can you tell a little bit more about the domain of your bot?

Bots in production

Rasa Open Source

CandaceRLewis (CandaceRLewis) February 27, 2019, 9:14am 26

I’m stuck in mantigames . Anyone can help me? Please.

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