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Chatbots - Coggle Diagram
Chatbots
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Dialogflow
Intents
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.
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The agent has to identify the intent, and use entities to piece together what the user is trying to say.
Agents
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dialogflow agent is similar to human call centre agent, both need to be trained to handle conversational scenarios. Training does not need to be overly explicit
Entities
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.
in Dialogflow, there are system entities - e.g. dates, times, numbers, email addresses, etc.
Parameters and entity types are structured data that can help us make better sense of what the user is trying to find out.
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training tab in Dialogflow allows us to view end-user expressions and validate if they have been assigned the correct intents
1) You would need to your google account 2) you're logging in Dialogflow for the first time, you should see a blue "CREATE AGENT" button in the middle.3)We will give our agent a name then When you have more agents in future, you want to be sure of the purpose of each agent.
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