rasa VS BotFramework-Composer

Support Rasa on GitHub ⭐

It itself is not a GPT. It is a a framework of a framework project built on top of Rasa (https://github.com/RasaHQ/rasa) and Langchain which by default uses gpt3.5-turbo (change it in the .env file) or any foundation model you wish.

There was already a GitHub issue https://github.com/RasaHQ/rasa/issues/11084 but it seems like there was no solution provided.

Rasa - also an open source platform. You can use it to build chatbots that are more in line with customer service and sales. Reading that, it’s kind of a big yikes for people under this kind of job knowing you can automate a part of their job via a chatbot. I think they also have a Pro version which is an extension that has additional analytics and probably more security features. I probably will check out the Open source one first and maybe ask about what the Pro version is.

At the moment it can recognise the type of statements in the training data set [1] and transpile them to Python, Java or C++ using the mappings defined here [2].

This is very different from how Codex/Autopilot work as it is trained using an NLU framework [3] which is usually used for training chatbots.

[1]: https://github.com/Flex-lang/transpiler/tree/master/transpil...

[2]: https://github.com/Flex-lang/transpiler/tree/master/transpil...

[3]: https://github.com/RasaHQ/rasa

Check out Rasa

It looks like it is built upon a Chatbot platform called “messengerx.io”, which itself seems to be built upon an open-source/machine-learning framework for voice/text conversations called “Rasa”

Use Python and use the Rasa framework to make a chat bot. https://rasa.com/docs/

This example is sourced from RasaHQ

The Bot Framework Composer allows us to build a Conversational AI based chatbots using Low code approach where the user can open the Bot Framework Composer application and start building the bot by defining the triggers, dialogs and other advanced features available in Composer. Along with these features Bot Framework Composer allows us to integrate Azure Cognitive Services such as LUIS, QnA Maker as well as our own custom microservices. Now, lets see how we are going to build a bot by integrating with our custom microservice which is available on Azure App Service.

As I knew (from Ignite 2020), this was coming so I started playing with stuff when it was in a Preview. The fantastic Bot Framework Composer team has always been responsive, super supportive and patient with me. Eventually, when I got this working, I thought to write a step by step guide for you to get yourself started!