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chatbot - Coggle Diagram

- - - - A Dialogflow agent is similar to a human call centre agent. Whether it is a Dialogflow agent or a human agent, both need to be trained to handle conversational scenarios. Training does not need to be overly explicit.
      - A Dialogflow agent is a virtual agent with the mission to handle conversations with your customers. Once a user sends a text message to the Dialogflow agent, Google uses artificial intelligence to translate the message into structured data with the aid of NLP.
      - Customers reach out to chatbot agent to acquire certain information. Hence, the Dialogflow agent needs to be built to handle the conversation.
    - - When an intent is matched, Dialogflow can extract specific information from the end-user expression. The extracted data is called a parameter or entity type. Parameters and entity types are structured data that can help us make better sense of what the user is trying to find out.
      - In Dialogflow, there are system entities - e.g. dates, times, numbers, email addresses, etc. You can also create your own custom entities. For example, you could define a vegetable entity that can match the types of vegetables available for purchase with a grocery store agent