Conversational AI Using Rasa Framework | Chatbot Development | Intent, Stories, Domain
Rasa 3 Installation
https://studio.youtube.com/video/UM9T...
Rasa is an open-source framework for building conversational AI applications. It provides a set of tools and libraries that enable developers to create chatbots and virtual assistants that can understand and respond to natural language inputs.
The Rasa framework consists of two main components: Rasa NLU and Rasa Core
Conversational design in Rasa involves creating effective and engaging conversational flows for your chatbot or virtual assistant. It involves designing the dialogue structure, defining intents and entities, and crafting appropriate responses based on user inputs.
In the context of conversational AI and natural language understanding, an intent represents the goal or intention behind a user's input or message. It refers to what the user is trying to accomplish or the action they want the chatbot or virtual assistant to perform
A story is a sequence of user inputs and corresponding expected bot responses. It represents a specific path or flow within a conversation. Each step in a story consists of an user message and an associated bot action or response.
In the context of the Rasa framework, the domain refers to a file that contains essential information about the chatbot's domain or the specific problem it aims to solve. The domain file acts as a central configuration file that defines various aspects of the chatbot, including its intents, entities, actions, templates, and other important settings.
