Please enable JavaScript.
Coggle requires JavaScript to display documents.
Chatbots - Coggle Diagram
Chatbots
Intent
customers reach out to chatbot agent to acquire certain information. Two different customers may ask the same thing differently, but their intent is the same.
-
What a customer types to the chatbot is referred to as an "end-user expression". Dialogflow matches the end-user expression to the best intent in your agent
-
Dialogflow
uses Natural Language Processing (NLP), which is a branch under artificial intelligence. In particular, NLP is how we can train computers to understand and process the natural human language.
-
Dialogflow agent
-
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.
-
Entity
-
system entities - e.g. dates, times, numbers, email addresses, etc. You can also create your own custom entities.
you could define a vegetable entity that can match the types of vegetables available for purchase with a grocery store agent.