GETTING STARTED
Kore.ai XO Platform
Virtual Assistants Overview
Natural Language Processing (NLP)
Concepts and Terminology
Quick Start Guide
Accessing the Platform
Navigating the Kore.ai XO Platform
Building a Virtual Assistant
Help & Learning Resources
Release Notes
Current Version
Recent Updates
Previous Versions
Deprecations
Request a Feature
CONCEPTS
Design
Storyboard
Overview
FAQs
Conversation Designer
Overview
Dialog Tasks
Mock Scenes
Dialog Tasks
Overview
Navigate Dialog Tasks
Build Dialog Tasks
Node Types
Overview
Intent Node
Dialog Node
Dynamic Intent Node
GenAI Node
GenAI Prompt
Entity Node
Form Node
Confirmation Node
Message Nodes
Logic Node
Bot Action Node
Service Node
Webhook Node
Script Node
Process Node
Agent Transfer
Node Connections
Node Connections Setup
Sub-Intent Scoping
Entity Types
Entity Rules
User Prompts or Messages
Voice Call Properties
Knowledge AI
Introduction
Knowledge Graph
Introduction
Terminology
Build a Knowledge Graph
Manage FAQs
Knowledge Extraction
Import or Export Knowledge Graph
Prepare Data for Import
Importing Knowledge Graph
Exporting Knowledge Graph
Auto-Generate Knowledge Graph
Knowledge Graph Analysis
Answer from Documents
Alert Tasks
Small Talk
Digital Skills
Overview
Digital Forms
Digital Views
Introduction
Widgets
Panels
Session and Context Variables
Context Object
Intent Discovery
Train
NLP Optimization
ML Engine
Overview
Model Validation
FM Engine
KG Engine
Traits Engine
Ranking and Resolver
Training Validations
NLP Configurations
NLP Guidelines
LLM and Generative AI
Introduction
LLM Integration
Kore.ai XO GPT Module
Prompts & Requests Library
Co-Pilot Features
Dynamic Conversations Features
Intelligence
Introduction
Event Handlers
Contextual Memory
Contextual Intents
Interruption Management
Multi-intent Detection
Amending Entities
Default Conversations
Conversation Driven Dialog Builder
Sentinment Management
Tone Analysis
Default Standard Responses
Ignore Words & Field Memory
Test & Debug
Overview
Talk to Bot
Utterance Testing
Batch Testing
Conversation Testing
Conversation Testing Overview
Create a Test Suite
Test Editor
Test Case Assertion
Test Case Execution Summary
Glossary
Health and Monitoring
NLP Health
Flow Health
Integrations
Actions
Actions Overview
Asana
Configure
Templates
Azure OpenAI
Configure
Templates
BambooHR
Configure
Templates
Bitly
Configure
Templates
Confluence
Configure
Templates
DHL
Configure
Templates
Freshdesk
Configure
Templates
Freshservice
Configure
Templates
Google Maps
Configure
Templates
Here
Configure
Templates
HubSpot
Configure
Templates
JIRA
Configure
Templates
Microsoft Graph
Configure
Templates
Open AI
Configure
Templates
Salesforce
Configure
Templates
ServiceNow
Configure
Templates
Stripe
Configure
Templates
Shopify
Configure
Templates
Twilio
Configure
Templates
Zendesk
Configure
Templates
Agents
Agent Transfer Overview
Custom (BotKit)
Drift
Genesys
Intercom
NiceInContact
NiceInContact(User Hub)
Salesforce
ServiceNow
Configure Tokyo and Lower versions
Configure Utah and Higher versions
Unblu
External NLU Adapters
Overview
Dialogflow Engine
Test and Debug
Deploy
Channels
Publishing
Versioning
Analyze
Introduction
Dashboard Filters
Overview Dashboard
Conversations Dashboard
Users Dashboard
Performance Dashboard
Custom Dashboards
Introduction
Custom Meta Tags
Create Custom Dashboard
Create Custom Dashboard Filters
LLM and Generative AI Logs
NLP Insights
Task Execution Logs
Conversations History
Conversation Flows
Conversation Insights
Feedback Analytics
Usage Metrics
Containment Metrics
Universal Bots
Introduction
Universal Bot Definition
Universal Bot Creation
Training a Universal Bot
Universal Bot Customizations
Enabling Languages
Store
Manage Assistant
Team Collaboration
Plan & Usage
Overview
Usage Plans
Templates
Support Plans
Invoices
Authorization
Conversation Sessions
Multilingual Virtual Assistants
Get Started
Supported Components & Features
Manage Languages
Manage Translation Services
Multiingual Virtual Assistant Behavior
Feedback Survey
Masking PII Details
Variables
Collections
IVR Settings
General Settings
Assistant Management
Manage Namespace
Data
Overview
Data Table
Table Views
App Definitions
Data as Service
HOW TOs
Build a Travel Planning Assistant
Travel Assistant Overview
Create a Travel Virtual Assistant
Design Conversation Skills
Create an ‘Update Booking’ Task
Create a Change Flight Task
Build a Knowledge Graph
Schedule a Smart Alert
Design Digital Skills
Configure Digital Forms
Configure Digital Views
Train the Assistant
Use Traits
Use Patterns
Manage Context Switching
Deploy the Assistant
Use Bot Functions
Use Content Variables
Use Global Variables
Use Web SDK
Build a Banking Assistant
Design Conversation Skills
Create a Sample Banking Assistant
Create a Transfer Funds Task
Create a Update Balance Task
Create a Knowledge Graph
Set Up a Smart Alert
Design Digital Skills
Configure Digital Forms
Configure Digital Views
Add Data to Data Tables
Update Data in Data Tables
Add Data from Digital Forms
Train the Assistant
Composite Entities
Use Traits
Use Patterns for Intents & Entities
Manage Context Switching
Deploy the Assistant
Configure an Agent Transfer
Use Assistant Functions
Use Content Variables
Use Global Variables
Intent Scoping using Group Node
Analyze the Assistant
Create a Custom Dashboard
Use Custom Meta Tags in Filters
Migrate External Bots
Google Dialogflow Bot
APIs & SDKs
API Reference
API Introduction
Rate Limits
API List
koreUtil Libraries
SDK Reference
SDK Introduction
Web SDK
How the Web SDK Works
SDK Security
SDK Registration
Web Socket Connect and RTM
Tutorials
Widget SDK Tutorial
Web SDK Tutorial
BotKit SDK
BotKit SDK Deployment Guide
Installing the BotKit SDK
Using the BotKit SDK
SDK Events
SDK Functions
Tutorials
BotKit - Blue Prism
BotKit - Flight Search Sample VA
BotKit - Agent Transfer
  1. Docs
  2. Virtual Assistants
  3. What's New
  4. What’s New in XO v10.1

What’s New in XO v10.1

Learn about the new features and enhancements included in v10.1 of Kore.ai Experience Optimization Platform, released on April 16, 2023.

The v10.1 of the Kore.ai XO Platform focuses on leveraging the power of Large Language Models and Generative AI to enable enterprises to create intelligent conversational experiences. The release offers a copilot for smart assistance, better conversational capabilities, and delivers personalized responses.

Key features and enhancements included in this release:

Smart Copilot for IVA Development

Enhanced Bot Creation Journey with Use Case Suggestions

Create Virtual Assistants faster with the new bot creation process that lets you generate use cases automatically. Dialog Tasks are auto-created along with the bot, providing you with the base framework to fast-track your VA creation journey. Learn more.

Automatic Dialog Generation

This feature auto-generates conversations and dialog flows using the VA’s purpose and intent description provided during the creation process. The Platform uses LLM and generative AI to create suitable Dialog Tasks for Conversation Design, Logic Building & Training by including the required nodes in the flow.

You can provide an intent description, and the Platform handles the Conversation Generation for the Dialog Flow. You can preview the conversation flow, view the Bot Action taken, improvise the intent description, and regenerate the conversation to make it more human-like. The nodes and the flow for the Business Logic are automatically built for your conversation, and you only need to configure the flow transition. Learn more.

Training Data Suggestions

Quickly generate high-quality training data using suggested utterances for each intent. Review and add the utterances to create a robust training set for your bot. Learn more.

NLP Batch Test Case Suggestions

Automatically generate NLP test cases for every intent, including the entity checks. Use the generated utterances to quickly create test suites in the builder. Learn more.

Conversation Test Cases Suggestions

Get simulated user inputs covering end-user scenarios at every test step. Use the suggestions to create test suites instantly. You can view input/utterance suggestions at every conversation step simulating the various input types and scenarios. This feature helps check if the task/intent is robust enough to handle random user utterances. It helps you predict and simulate the end user’s behavior and check if the VA can execute all the defined flows by generating user responses and presenting any digressions from the specified intent. Learn more.

Dynamic Conversations

Dynamic Paraphrasing

You can now leverage Generative AI to rephrase bot responses based on conversation context and users’ emotions, resulting in more empathetic and natural responses that enhance user experience and engagement. When the OpenAI or Azure-OpenAI integration is enabled, you can see a new setting to rephrase responses at the node level for Message, Entity, and Confirmation Nodes. The messages added as User Prompts, Error Prompts, and Bot Responses are rephrased during runtime using the integration. Learn more

GenAI Node

The GenAI Node lets you leverage the full potential of LLMs and Generative AI models to quickly build conversations that involve complex flows and also provide human-like experiences. You can define the entities you would like to collect and also the business rules that govern the collection of these entities. The XO Platform orchestrates the conversation using contextual intelligence, ensuring that the conversation is always grounded to your enterprise business rules. You can also provide exit rules for handing off the conversation to the virtual assistant or the human agents. Learn more.

Knowledge Graph Powered by LLM

The new Few-Shot Knowledge Graph leverages LLMs to understand the FAQs without the need for exhaustive ontology. All you need to do is add all FAQs to the root node/term. This significantly reduces the complexity of building and maintaining an ontology structure. Learn more.

With the introduction of Few-shot models in ML and KG engines, rescoring by Ranking & Resolver is no longer required for intent identification. Therefore, we have introduced a new version of Ranking & Resolver (Version 2) for Few-shot models that only ranks intents based on scores from ML and KG engines. The version significantly improves the accuracy of intent identification.

Multi-language Support for Zero-shot and Few-shot Models

The Zero-shot and the Few-shot ML Models are now supported in all non-English languages.

Pre-built Integrations

Integration with Unblu for Agent Transfer

Kore.ai’s pre-built Agent Transfer integrations now allow you to seamlessly hand off the conversations to the Unblu agent system without writing any custom code using the BotKit. Learn more.

Disable or Delete Pre-built Action Integrations

You can now disable or delete a configured external Action integration.

Additional Enhancements

External NLU for Universal Bots

The Platform provides more flexibility in bot orchestration by allowing you to link some bots using external NLU engines and others using proprietary multi-engine NLP. With external NLU integration, you can continue to have the NLU training on an external system and build the conversation flow on the XO platform. Learn more.

Analytics Details in Webhook v2 Response

The Webhook v2 response now includes additional conversation flow-related analytics information to help you build custom analytics. You can set the AnalyticsDetails parameter to Include in the request to view meta tags related to all nodes, tasks, sub-task, and session_id details in the response. Learn more.

Export Conversational Path Analysis Data

You can now export the Conversational Path Analysis data in a .csv file to analyze the flow of drop-off sessions and take the required actions. Learn more.

Customize Authorization Profiles for a Conversion Session

The Platform provides a new way to clear authorization profiles collected from the users. The authorization profiles can be auto-cleared as part of the session closure, or you can also use the koreUtil.clearAuthProfiles and koreUtil.clearAllAuthProfiles functions. Learn more.

Improved Messaging Channel Support

SmartAssist Gateway is Kore.ai’s native voice interface to deliver seamless and low-latency conversation experiences. Learn more.

Plan & Usage

Ecommerce Plans are now supported in the EU region. Also, wire transfer-based payments are now supported for Ecommerce Plans. Learn more.

Entity Rule Enhancements

  • Letters rule for the String Entity: The new Letters rule (letters=a single number OR a range) for the String entity allows you to extract a word of a specific length or a sequence of individual characters that meet the length criteria. Learn more.
  • New Model Number Rule for Composite Entity: The new Model Number rule (“modelNumber”:true) for Composite Entity allows you to set a specific number of letters and numbers to extract a unique identifier. For example, a social security number, membership ID, or other structured data on a voice channel where the user’s utterance does not follow a strict regex pattern. Learn more.
  • New Precondition Rule for all entity types allows you to define preconditions for entity extraction if one of the conditions is true. If the precondition is invalid then the entity extraction is skipped entirely. For example, a composite entity matches with a set of identification numbers, such as membership ID, provider ID, and RX number. You can set the precondition rule as "preConditions" : ["checkMemberID"]. Learn more.

What’s New in XO v10.1

Learn about the new features and enhancements included in v10.1 of Kore.ai Experience Optimization Platform, released on April 16, 2023.

The v10.1 of the Kore.ai XO Platform focuses on leveraging the power of Large Language Models and Generative AI to enable enterprises to create intelligent conversational experiences. The release offers a copilot for smart assistance, better conversational capabilities, and delivers personalized responses.

Key features and enhancements included in this release:

Smart Copilot for IVA Development

Enhanced Bot Creation Journey with Use Case Suggestions

Create Virtual Assistants faster with the new bot creation process that lets you generate use cases automatically. Dialog Tasks are auto-created along with the bot, providing you with the base framework to fast-track your VA creation journey. Learn more.

Automatic Dialog Generation

This feature auto-generates conversations and dialog flows using the VA’s purpose and intent description provided during the creation process. The Platform uses LLM and generative AI to create suitable Dialog Tasks for Conversation Design, Logic Building & Training by including the required nodes in the flow.

You can provide an intent description, and the Platform handles the Conversation Generation for the Dialog Flow. You can preview the conversation flow, view the Bot Action taken, improvise the intent description, and regenerate the conversation to make it more human-like. The nodes and the flow for the Business Logic are automatically built for your conversation, and you only need to configure the flow transition. Learn more.

Training Data Suggestions

Quickly generate high-quality training data using suggested utterances for each intent. Review and add the utterances to create a robust training set for your bot. Learn more.

NLP Batch Test Case Suggestions

Automatically generate NLP test cases for every intent, including the entity checks. Use the generated utterances to quickly create test suites in the builder. Learn more.

Conversation Test Cases Suggestions

Get simulated user inputs covering end-user scenarios at every test step. Use the suggestions to create test suites instantly. You can view input/utterance suggestions at every conversation step simulating the various input types and scenarios. This feature helps check if the task/intent is robust enough to handle random user utterances. It helps you predict and simulate the end user’s behavior and check if the VA can execute all the defined flows by generating user responses and presenting any digressions from the specified intent. Learn more.

Dynamic Conversations

Dynamic Paraphrasing

You can now leverage Generative AI to rephrase bot responses based on conversation context and users’ emotions, resulting in more empathetic and natural responses that enhance user experience and engagement. When the OpenAI or Azure-OpenAI integration is enabled, you can see a new setting to rephrase responses at the node level for Message, Entity, and Confirmation Nodes. The messages added as User Prompts, Error Prompts, and Bot Responses are rephrased during runtime using the integration. Learn more

GenAI Node

The GenAI Node lets you leverage the full potential of LLMs and Generative AI models to quickly build conversations that involve complex flows and also provide human-like experiences. You can define the entities you would like to collect and also the business rules that govern the collection of these entities. The XO Platform orchestrates the conversation using contextual intelligence, ensuring that the conversation is always grounded to your enterprise business rules. You can also provide exit rules for handing off the conversation to the virtual assistant or the human agents. Learn more.

Knowledge Graph Powered by LLM

The new Few-Shot Knowledge Graph leverages LLMs to understand the FAQs without the need for exhaustive ontology. All you need to do is add all FAQs to the root node/term. This significantly reduces the complexity of building and maintaining an ontology structure. Learn more.

With the introduction of Few-shot models in ML and KG engines, rescoring by Ranking & Resolver is no longer required for intent identification. Therefore, we have introduced a new version of Ranking & Resolver (Version 2) for Few-shot models that only ranks intents based on scores from ML and KG engines. The version significantly improves the accuracy of intent identification.

Multi-language Support for Zero-shot and Few-shot Models

The Zero-shot and the Few-shot ML Models are now supported in all non-English languages.

Pre-built Integrations

Integration with Unblu for Agent Transfer

Kore.ai’s pre-built Agent Transfer integrations now allow you to seamlessly hand off the conversations to the Unblu agent system without writing any custom code using the BotKit. Learn more.

Disable or Delete Pre-built Action Integrations

You can now disable or delete a configured external Action integration.

Additional Enhancements

External NLU for Universal Bots

The Platform provides more flexibility in bot orchestration by allowing you to link some bots using external NLU engines and others using proprietary multi-engine NLP. With external NLU integration, you can continue to have the NLU training on an external system and build the conversation flow on the XO platform. Learn more.

Analytics Details in Webhook v2 Response

The Webhook v2 response now includes additional conversation flow-related analytics information to help you build custom analytics. You can set the AnalyticsDetails parameter to Include in the request to view meta tags related to all nodes, tasks, sub-task, and session_id details in the response. Learn more.

Export Conversational Path Analysis Data

You can now export the Conversational Path Analysis data in a .csv file to analyze the flow of drop-off sessions and take the required actions. Learn more.

Customize Authorization Profiles for a Conversion Session

The Platform provides a new way to clear authorization profiles collected from the users. The authorization profiles can be auto-cleared as part of the session closure, or you can also use the koreUtil.clearAuthProfiles and koreUtil.clearAllAuthProfiles functions. Learn more.

Improved Messaging Channel Support

SmartAssist Gateway is Kore.ai’s native voice interface to deliver seamless and low-latency conversation experiences. Learn more.

Plan & Usage

Ecommerce Plans are now supported in the EU region. Also, wire transfer-based payments are now supported for Ecommerce Plans. Learn more.

Entity Rule Enhancements

  • Letters rule for the String Entity: The new Letters rule (letters=a single number OR a range) for the String entity allows you to extract a word of a specific length or a sequence of individual characters that meet the length criteria. Learn more.
  • New Model Number Rule for Composite Entity: The new Model Number rule (“modelNumber”:true) for Composite Entity allows you to set a specific number of letters and numbers to extract a unique identifier. For example, a social security number, membership ID, or other structured data on a voice channel where the user’s utterance does not follow a strict regex pattern. Learn more.
  • New Precondition Rule for all entity types allows you to define preconditions for entity extraction if one of the conditions is true. If the precondition is invalid then the entity extraction is skipped entirely. For example, a composite entity matches with a set of identification numbers, such as membership ID, provider ID, and RX number. You can set the precondition rule as "preConditions" : ["checkMemberID"]. Learn more.
메뉴