Dialogflow is an API used to build interactive dialog box communications for mobile applications, websites and other platforms. It uses a natural language context intelligence API to provide quick responses to end users, based on what conversation it is. There are various prebuilt entities used to recognize a user’s intent. It allows the users to build native server-less applications on an integrated code editor; it can be deployed on cloud or on premise. It supports user interaction conversations for cross-platform and as well as multilingual through text and voice. This has separate SLAs and ToS for standard and enterprise editions.
The architecture of Dialogflow is as follows:
The main purpose of this model is to build user interfaces to interact between users and devices of various platforms, through text and voice.
The core components used in this model are:
- NLP API
- REST API
- RPC API
- Cloud Endpoints
- Cloud Speech API
- Cloud Storage
- Clients Library
- IoT API
- Cloud Function for Firebase
The...