Dialog Task

Working with the User Intent Node

As a bot developer, you typically create a task to resolve one primary user intent. Yet, user conversations can branch into related intents (follow-up or sub-intents) as a part of the primary intent. Let us take a look into this sample conversation for a Book Flights bot: Bot: Hi, how…

Managing Dialogs

Your bot can have many dialog tasks with related components. You can use the Dialog Editor to create, review, and edit a single dialog task for a bot. However, to better visualize and understand relationships and settings for all dialog tasks in a bot, you must use the Manage Components…

Working with the Message (Bot Response) Nodes

The Message Node is used to deliver a message to the user. Message nodes commonly follow an API, web service call, or webhook event to define their results as a formatted response. You can format bot responses as below: Plain text: Type a message in plain text. You can use…

Enabling 2-way SSL for Service nodes

Two-way SSL authentication is a certificate-based mutual authentication protocol that refers to two parties authenticating each other by verifying the provided digital certificate so that both parties are assured of the others' identity. It refers to a client (web browser or client application) authenticating themselves to a server (website or…

Defining Connections & Transitions

Node Types You can add the following nodes to dialog tasks based on your requirements: User Intent Node The user intent to be identified by the platform is based on the user utterance. Every dialog has one root intent with any number of sub-intents. For more information, refer to Working…

Working with Composite Entities

Composite Entities help you capture multiple entity values in a user utterance. These multiple entity values are optional and come in any order in the user utterance. Let us consider the below example. Car Sales Bot: Consider the sales inquiries to car sales. Typical queries can be of the form:…

Supported Entity Types

The Entity Type provides the NLP Interpreter with the expected type of data from a user utterance to enhance recognition and system performance.  The Kore.ai NLP interpreter extracts the entity from the user utterance. If the user does not enter a required entity, you can define a Bot Response node…

Implementing Custom Authentication

You can implement custom authentication for your bot by providing URL from the service node to an external application that manages the authentication. The platform provides the necessary functionality to handle successful and failed authentication scenarios and manage the corresponding task flows. Bot Builder mechanism to implement custom authentication involves…

Supported Company Names

Kore.ai bots platform uses the following list to identify the organization names in user utterances. ABN AMRO Activision Blizzard (Activision Blizzard) Aditi Technologies Aditya Birla Advanced Micro Devices (AMD) Affiliated Computer Services Ahold Delhaize Air France-KLM Aitken Spence Albertson's Alfa Laval Alliance Global Amazon.com (Amazon) American Express (AMEX) American International…

Supported Colors

Kore.ai Bots Platform supports the following colors: Color Prefix green caesious celadon chartreuse chlorochrous glaucous green greenish Kelly olivaceous pistachio porraceous prasinous smaragdine virescent virid viridian zinnober apple celery emerald lime mint olive sage brown amber bronze brown brownish brunette buff fuscous infuscate mahogany russet rust sandy sepia sienna sinopia…
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