Share the projects you are working on and find collaborators. We would love to hear what you are working on and what project ideas you have. This topic is also a perfect place to share the roadblocks you are facing and find the collaborators to help you bring you great ideas to life! :slightly_smiling_face:

I am working with Lichess Team (Chess playing website) to create a chatbot that works with Chess bots. Its still experimental but I got a very crude version of it working with NLU + Core. The idea is that each chess bot can have its own bot and answers accordingly. So creating a framework for chess bot makers to make their own chatbot using Rasa’s tech.

Since I know Kubernetes and its packager Helm I’m working on a simple chart that will make possible to deploy on a cluster a simple chatbot given a github repository for nlu, stories and custom actions. I already developed a chart that, when installed in the Kubernetes cluster, download stories, actions and nlu and use them to train a Rasa model. In past I also developed simple Bot for Telegram using BotKit. The idea would be to have a out-of-the-box Rasa chart to create and deploy self-service Bots. I’m just wondering: if this contribution can be a good idea and to look if some is interested in the creation of the bot (nodeJS with BotKit and Rasa interaction) Let me know if some is interested. Bye Michele

Does Anyone Else Want a Search Engine API? I was trying to make my own personal assistant chatbot with Rasa and I reaslised I don’t have access to information - like the weather, traffic, random trivia, random jokes and fun facts, recipes, news, sports results, etc. etc. - basically anything I would like to ask it. So I decided I would make an information retrieval API for these fetching these kind of things and I think there could be a lot of people using Rasa that could use it. You can check it out at http://fetchable.ai , we’ll be releasing an Alpha version soon. If you’re interesting in using something like this, could you please heart this post :slight_smile: If people wanted to give more information, I would love to know: what kind of device you are building? how would people like to interact with it? what kind of information do other people need? Thanks all!

I have created couple of bots using (Webex teams+botkit) and (Webex Teams+dialogueflow). Now planning to use RASA stack for compliance reason and using AI capability of RASA. So appreciate you suggestion on below questions. Is RASA 1.0.1 provides integration with Webex Teams? If yes can I just add webex team token details in credentials.yml file ? If no is it good idea to use botkit along with Webex Teams and Rasa stack ?

Update: We’ve released an Alpha version of ‘The Search Engine for Artificial Intelligence’ at https://fetchable.ai :tada: :clinking_glasses: You can see a blog post showing how to integrate it with Rasa here: https://medium.com/fetchable/how-to-build-a-question-answering-chatbot-with-fetchable-and-rasa-2f61e5dfebe8 [rasa_blog] It’s still in Alpha and needs a lot of work so any feedback you guys can give would be amazing! :pray:

Hi @Andrew-Murtagh . Wow, this is very cool!

Thanks @Juste , hopefully it will help some people build their bots :smiley:

Hello all, this is Ranjith from India/Tamil nadu /tirupur . I’m absolutely newbie for RASA. I have started few days ago. really its an interesting to learn and do chat bots. I like RASA X very much because without coding anything we can make a chat bot. thanks for entire team for make this.

Hey I’m working on developing a chatbot for a website . The bot respond for the user queries. The bot search in the website for user queries

I am new to Rasa and was hoping to get some guidelines on how to recreate a simplified version of Symptom Checker, Check Your Symptoms in Real Time | Buoy just for learning purposes. What I’d like to achieve is a dialogue flow in which the user initially specifies one symptom (or is instructed to provide a symptom), the assistant retrieves a few associated symptoms from some external service (associated symptoms model) and asks the user about those all symptoms as follow up questions. Once the followup questions are all answered, then the assistant passes all the symptoms present (and not present) to some disease prediction model based on the symptoms to output some potential diagnoses. For now I would just like to keep things simple with either yes the symptom is present, or no the symptom is not present (as I’m not sure how to handle if a user were unsure whether the symptom is present). Example conversation: input> I think I have a cough #the entity is recognized as cough either from nlu.md or a symptoms.txt lookup table output> let’s determine some potential diagnoses output> do you have a fever? input> yes/no (or if this is possible via buttons then great) output> do you feel dizzy? … output>possible diagnoses: bronchitis, benign cough, allergies, etc

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Rasa Open Source

TheRealElroso (The Real Elroso) October 31, 2024, 9:09pm 37

I’m interested in providing assistance. 5gwguerillafighter@gmail.com

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