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Configuring Default Responses in RASA Chatbots with Custom Actions

Any good or customer related chatbot will definitely have default chatbot response especially for situations when a chatbot fails to understand customer question/query. Setting a default chatbot response in RASA platform is very easy. But, apart from setting a hard-coded default chatbot response, a dynamically build default chatbot response is very easy to configure in RASA platform with the help of RASA custom actions. This dynamic default chatbot response can be build using external web API(s), from database or through any method that suits your need according to your business requirements.

So, I am going to show you that how dynamic default chatbot response will look like using custom actions when configured within RASA platform on the Windows 10/11 machines. At the moment detail tutorial of configuring default chatbot response message using RASA platform on Windows and on Linux/Ubuntu machines are not available, but, source code is available. My detail course will be out soon for RASA on both Windows and Linux/Ubuntus machines. So, Keep following my posts and My Youtube Channel.

Prerequisites:

Following are some of the many prerequisites for this project:
  1. Python Latest Version Installation.
  2. RASA Platform Installation.
  3. Knowledge of Training RASA Custom Model.
  4. Knowledge of Creating RASA Web Chat Widget using SOCKET.IO.
  5. Basic Knowledge of Building Chatbots.
The running working source code solution for this project is being developed using Python-based RASA platform on both Windows 10/11 and Linux/Ubuntu machines. For the source code in Windows or Linux/Ubuntu click on the button below.

Note that detail tutorial on how to configure dynamic default chatbot response using custom actions in RASA platform on both Windows and Linux/Ubuntu machines will be coming soon, but, if you like you can play around with the provided source code for Linux/Ubuntu.

1 comment:



  1. "This tutorial on dynamic default chatbot responses using custom actions in Rasa is incredibly helpful! It's great to see how to personalize interactions effectively. Thanks for sharing this insightful guide!"
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