Categories:
Build experiences that call NLP apps
Workflow with the main stages to build an end-to-end experience that calls NLP as a Service to use an NLP app
Introduction
Within NLP as a Service, the NLP Apps capability enables channels, services or skills to connect with Aura cognitive capabilities for sending a request expressed in natural language and receiving back an accurate response via API, without the need for a conversational bot.
Steps in the process
a. Prerequisites: Install and enable
GES team
Is Aura NLP deployed in your Aura system? If not:
Deploy Aura NLP
Enable NLP as a Service components
GES team / Kernel DevOps Team
Is aura-gateway-api published in Kernel? If not:
Publish the aura-gateway-api API in Kernel as a prerequisite to call this API
GES team
Check if your Kernel token has already expired. If so:
Get a valid Kernel two-legged token
b. Configure
Use case constructor
Configure an application to connect with aura-gateway-api
c. Build & test
Use case constructor
Generate and deploy the NLP recognition package for your use case
Use case constructor
Make a request to Aura NLP resolution API