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Creating Chatbots with Dialogflow (Google console)
Agents
Instances of chatbots we create.
Intents
Conversations between user and bot
They can be entered manually or through CSV file.
They can provoke questions through actions console which can be passed to entities
Entities
They are objects with certain features where data will be stored coming from conversations.
Knowledge
information sources like websites from which agent can retrieve data
Fullfilments
They provide an inline editer and webhooks to handle different functions like google translation,voice detection
Integrations
Integration to whatsapp,facebook,twitter can be done through API token generated in app in developer’s account
Integration to website can be done simple enabling the website integrating and pasting the code in html
Functionalities
Recognize images ,sounds,translate
Greet and talk
Help in digital marketing
Can be tested,trained and integrated to facebook,whatsapp ,twitter and others
Inbuilt ML code
can be edited from backend through nodeJS and stored data in heroku
History
Past converstations with bot by users.
Analytics
analysis of usage of chatbots in days and weeks over time
Reference
https://medium.com/swlh/how-to-build-a-chatbot-with-dialog-flow-chapter-1-introduction-ab880c3428b5 (chapter wise instruction)
https://develop.zendesk.com/hc/en-us/articles/360001068567-Installing-and-using-cURL(installing curl)