OVERVIEW
Virtual Assistants
Kore.ai Platform
Key Concepts
Natural Language Processing (NLP)
Accessing Platform
VIRTUAL ASSISTANTS
Virtual Assistant Builder
Virtual Assistant Types
Getting Started
Creating a Simple Bot
SKILLS
Storyboard
Dialog Task
Introduction
Dialog Builder (New)
Dialog Builder (Legacy)
User Intent Node
Dialog Node
Entity Node
Supported Entity Types
Composite Entities
Supported Colors
Supported Company Names
Form Node
Logic Node
Message Nodes
Confirmation Nodes
Bot Action Node
Service Node
Custom Authentication
2-way SSL for Service nodes
Script Node
Agent Transfer Node
WebHook Node
Grouping Nodes
Connections & Transitions
Manage Dialogs
User Prompts
Knowledge Graph
Terminology
Building
Generation
Importing and Exporting
Analysis
Knowledge Extraction
Build
Alert Tasks
Introduction
Ignore Words and Field Memory
How to Schedule a Smart Alert
Small Talk
Digital Views
Overview
Configuring Digital Views
Digital Forms
Overview
How to Configure Digital Forms
NATURAL LANGUAGE
Overview
Machine Learning
Introduction
Model Validation
Fundamental Meaning
Introduction
NLP Guidelines
Knowledge Graph
Traits
Introduction
How to Use Traits
Ranking and Resolver
Advanced NLP Configurations
INTELLIGENCE
Overview
Context Management
Overview
Session and Context Variables
Context Object
How to Manage Context Switching
Manage Interruptions
Dialog Management
Sub-Intents & Follow-up Intents
Amend Entity
Multi-Intent Detection
Sentiment Management
Tone Analysis
Sentiment Management
Event Based Bot Actions
Default Conversations
Default Standard Responses
TEST & DEBUG
Talk to Bot
Utterance Testing
Batch Testing
Conversation Testing
CHANNELS
PUBLISH
ANALYZE
Overview
Dashboard
Custom Dashboard
Overview
How to Create Custom Dashboard
Conversation Flows
NLP Metrics
ADVANCED TOPICS
Universal Bots
Overview
Defining
Creating
Training
Customizing
Enabling Languages
Store
Smart Bots
Defining
koreUtil Libraries
SETTINGS
Authorization
Language Management
PII Settings
Variables
Functions
IVR Integration
General Settings
Management
Import & Export
Delete
Versioning
Collaborative Development
PLAN & USAGE
Overview
Usage Plans
Support Plans
Invoices
API GUIDE
API Overview
API List
API Collection
SDKs
SDK Overview
SDK Security
SDK App Registration
Web SDK Tutorial
Message Formatting and Templates
Mobile SDK Push Notification
Widget SDK Tutorial
Widget SDK – Message Formatting and Templates
Web Socket Connect & RTM
Using the BotKit SDK
Installing
Configuring
Events
Functions
BotKit SDK Tutorial – Agent Transfer
BotKit SDK Tutorial – Flight Search Sample Bot
Using an External NLP Engine
ADMINISTRATION
HOW TOs
Creating a Simple Bot
Creating a Banking Bot
Context Switching
Using Traits
Schedule a Smart Alert
Configure UI Forms
Add Form Data into Data Tables
Configuring Digital Views
Add Data to Data Tables
Update Data in Data Tables
Custom Dashboard
Custom Tags to filter Bot Metrics
Patterns for Intents & Entities
Build Knowledge Graph
Global Variables
Content Variables
Using Bot Functions
Configure Agent Transfer
Update Balance Task
Transfer Funds Task
RELEASE NOTES
  1. Docs
  2. Virtual Assistants
  3. Builder
  4. Dialog Task
  5. Defining Connections & Transitions

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 with the User Intent Node.

Entity Node

The user entity in the utterance. The platform supports 15+ entity types. Developers can define the prompt message to be shown, and this message can be channel-specific. For example, an amount, account number, time, or zip code. Entity nodes prompt the user for an input. For more information, refer to Working with the Entity Node.

Agent Transfer Node

Used to transfer communication from the bot to a live agent. This is usually the last node for a dialog task. For more information, refer to Working with the Agent Transfer Node.

Script Node

Used to write custom JS code in the dialog task. For more information, refer to Working with the Script Node.

Service Node

Allows you to call an API. You can also use cURL to build the API request. For more information, refer to Working with the Service Node.

Message (or Bot Response) Node

Displays a message from the bot to a user, such as, Is there anything else I can help you with? For more information, refer to Working with the Bot Response Node.

Confirmation Node

Displays a query message from the bot to the user, and then waits for a user response. Conditions are defined to continue processing the dialog task flow based on the user input. For more information, refer to Working with the Confirmation Node.

WebHook Node

Used for server-side validation, executing business logic, or making backend server API calls. To use this node, you must have installed the SDK Tool Kit. For more information, refer to Working with the WebHook Node.

While any dialog starts at the Intent Node, it is advisable to end it with a Message Node to give a sense of closure to the user as well as to the bot internally.

Component Transitions

A Dialog Task builds a task flow with different nodes connected by transitions. Dialog Task transitions depend on conditions that use business-defined evaluation criteria to take the next steps within the Dialog Task flow.

In Kore.ai, you define If-then-else conditions using a set of predefined operators. For each component, you must specify a fallback condition. How you represent a transition depends on the component type you are defining, and component type-specific transitions are described in the topic for each component type.

You can use the following operators to write conditions:

  • Exists
  • Equals to
  • Greater than equals to
  • Less than equals to
  • Not equals to
  • Greater than
  • Less than
  • Contains

Context Object

The Context object for Bot Builder is the container object that holds the data for the dialog execution. The Kore.ai Natural Language Processing (NLP) engine populates the intent identified, entities extracted, and history into this object. You can use the keys from the Context object for component transition conditions. For more information, refer to Context Object.

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