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 Management
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. Home
  2. Docs
  3. Virtual Assistants
  4. Advanced Topics
  5. Universal Bot
  6. Universal Bots

Universal Bots

Kore.ai’s Universal Bots facilitate a scalable, modular approach to Bot building by helping you link several Bots into one.

Universal Bot is a container bot that can be linked with one or more Standard Bots. When a user interacts with the Universal Bots, it routes the user utterance to the appropriate linked bot for intent detection or task fulfillment.

Note: A universal Bot doesn’t own the linked bots, but it interprets the user utterances and maps them to the correct linked bots. The changes that you make to a linked bot task from inside the universal bot, such as training the task, are saved directly to the linked bot. Also, you cannot create any task for the universal bots except for customizing a default dialog task that gets created automatically with every universal bot.

Highlights

  • The universal bot acts as a single interface for the Bot users of an enterprise, across business lines or products or services.
  • Standard bots that aim to meet a specific purpose can be built independently and then be associated with a Universal bot by linking them to the Universal Bot.
  • The developer can view and analyze all user interactions from within the Universal bot and also train the respective bots with additional training data.
  • The developer can train the Universal bot for identifying the relevant bots from a user utterance, using the ranking and disambiguation model. Universal Bot can be trained in three aspects:
    • Using example utterances like the Machine Learning model. This would help identify a set of linked bots as possible matches to the user utterance.
    • Invocation Names that would identify a specific linked bot from the user utterance.
    • Invocation Phrases that would identify a specific intent in a specific bot from the user utterance.
      Refer here to know more about training a Universal Bot.
  • This trained Universal Bot can then be published so that when the end-users interact with Universal bot, it will perform intent recognition across all linked bots to understand the user’s intent and engage the appropriate bot to perform the task.
  • In the case of ambiguity in identifying an appropriate bot or task, a sub-dialog is initiated to obtain confirmation from the user.
  • Universal bots also provide a  Fallback Bot for gracefully handling any untrained/un-recognized requests.
  • Linked bots can be marked as Inclusive bots that need not be trained with sample utterances to participate in the bot scoping process (introduced in ver8.0).
  • Apart from this, the developer can define eligible bots ie. assign specific bots to specific end-users so that only the intents from these bots are made available to them.

Implementation

The following flow chart shows the working of a Universal bot:

The following is the explanation for the above process flow:

  • Universal Bot checks id any eligible bots are defined.
  • If defined, then the list of eligible bots is obtained, else the user intent is checked against any Small Talk, etc.
  • If eligible bots not defined then all the linked bots are considered as eligible.
  • Once the linked eligible bots list is there, Universal Bot identifies the bots that qualify using the invocation phrases. (See the bot training page for details)
  • The user utterance is sent to the scoped bots and the results are processed by the Universal Bot’s Ranking and Resolver engine.

Universal Bot – upgrade

Post ver7.3 release of the platform, new Universal Bots would be versioned as 2.0.

We recommend you upgrade since the older version of universal bot will be deprecated soon. The previous version of Universal bot has the following limitations:

  • Training – you cannot train the universal bot, need to depend upon the training of the linked bots for proper functioning.
  • There are performance issues with the older version if the number of linked bots exceeds 5 or the total number of intents exceeds 100.
  • Variable Management is not possible from the older version of Universal bot.

Older version universal bots will prompt you to Upgrade when:

  • you open the universal bot; or
  • when from the left navigation menu you access Natural Language -> Training.

Once you upgrade, follow these steps to ensure that the user utterances are routed to the relevant linked bots:

  • Train the Universal Bot to identify the linked bots by providing Training Utterances or Invocation Names. The Universal Bot will route the user utterances only to the identified linked bots.
  • Mark linked bots as Fallback Bots. The utterances are routed to the Fallback bots when no other linked bots are qualified from the training provided. A maximum of 15 linked bots can be marked as Fallback bots.
  • Review the linked bot identification flow from the Utterance Testing module.

Refer here for more on training the Universal Bot.

Next Steps

  • Know more about Universal Bots and compare with Standard Bots behavior from here.
  • You can also start creating your Universal Bots by referring here.
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