Hi I’m new to Rasa here. Just wondering if it is possible to integrate CRMs such as Marketo with the chatbot and send information back and forth to personalise the chatbot experience for the user? It will be cool if the user gets a personalised message when he/she uses the chatbot
Hello, I’m new to rasa and I have finally made a simple chatbot and now I want to deploy it on a website as of now I have made a simple blank website using this video as source Rasa chatbot using Webchat (Rasa bot part 3) - YouTube but unable to to get the chat widget. Can someone help me what might be the problem ? And In that video the src = “https://storage.googleapis.com/mrbot-cdn/webchat-0.5.3.js” but now the webchat github shows src=“https://cdn.jsdelivr.net/npm/rasa-webchat/lib/index.min.js” want to know whats the difference between those and I have tried both which didn’t work. @Juste Please help me out.
Follow the instructions on the webchat github - they are up to date where their own URL is concerned
I would like to hear an answer for this as well!
Hi @dadecoza,
Can you please help how did you productionize it?
- I have customized UI written using AJAX and JavaScript. It runs very well on my local with command.
- When we deploy Rasa on production, do we need run and keep the actions server command (rasa run actions) and the command prompt to run the UI continuously ON? What is the way to do it on Server?
- Please share any video/documents on productionizing Rasa.
Thanks
@TQuy, can you please help to know how to deploy it on windows server ? After deployment how to make it available to users? Generate URL? How to keep actions server and rasa server running? Please help.
Good Morning,
kindly does anyone know expert RASA personnel in the Rome area ? thank you so much
I’ve created one chatbot with all HR functionality for my company which is included daily punch in/out, timesheet, total hour count, add employee for HR, HR can show any employee daily data,HR can show who had done overtime with only one keyword ‘overtime’ and employee can used this chatbot as personal assistant like any user can set reminder at any time with reminder message and also cancel reminder features and many more functionality i’ve added in my chatbot which is created in Rasa.
It’s all about a healthcare bot…
I’m building a chat bot with more than 150 intents, 2 lakh entities, 1600+ stories, 16700+ NLU training examples which are prepared manually, the bot is now working well, it’s responding to any query which is near match of 16700+ training line items, I also used external API calls in actions. Customised bot UI and added carousel with button which can redirect user to respective URL. But the challenge here is I’m not able to get localStorage data of a user from a browser when user is logged in.
Your guys are not explaining anything about lookup tables in your workshops, lookup table feature is awesome why don’t you help us in fitting that lookup tables correctly in NLU file?
And thanks to all Devs and contributors. Here are a few snaps…
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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
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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.
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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 
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
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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 
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For fun, I also wrote a quick Discord bot interface and its come in handy.
Thanks again to the Rasa team for making Juliet possible!
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That’s great to hear! grats on the launch 
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That’s super cool! Thanks for letting us know!
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