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A Dialogflow
agent
is a virtual agent that handles concurrent conversations with your end-users.
It is a natural language understanding module that understands the nuances of human language.
Dialogflow translates end-user text or audio during a conversation
to structured data that your apps and services can understand.
You design and build a Dialogflow agent to handle the types of conversations required for your system.
A Dialogflow agent is similar to a human call center agent.
You train them both to handle expected conversation scenarios,
and your training does not need to be overly explicit.
Agents also serve as a top-level container for settings and data:
Agent settings
for language options, machine learning settings,
and other settings that control the behavior of your agent.
Intents
to categorize end-user intentions for each conversation turn.
Entities
to identify and extract specific data from end-user expressions.
Knowledge
to parse documents (for example, FAQs) and find automated responses.
Integrations
for applications that run on devices or services
that directly handle end-user interactions for you (for example, Google Assistant).
Fulfillment
to connect your service when using integrations.
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