시작
Kore.ai 대화형 플랫폼
챗봇 개요
자연어 처리(NLP)
봇 개념 및 용어들
빠른 시작 가이드
봇 빌더 접근 방법
사용 고지 사항 (영어)
Kore.ai 봇 빌더로 작업하기
봇 구축 시작하기
릴리스 정보
현재 버전 (영어)
이전 버전 (영어)

개념
디자인
스토리보드
대화 작업
개요
Using the Dialog Builder Tool
노드 유형
사용자 의도 노드
대화 노드
엔티티 노드
양식 노드
확인 노드
서비스 노드
봇 조치 노드
Service Node
WebHook 노드
스크립트 노드
노드 그룹화하기
Agent Transfer Node
사용자 프롬프트
음성 통화 속성
대화 관리
노드 및 전환
구성 요소 전환
컨텍스트 개체
이벤트 기반 봇 조치
지식 그래프
소개
지식 추출
지식 그래프 생성
봇에 지식 그래프 추가
그래프 생성
지식 그래프 작성
FAQ 추가
작업 실행
기존 소스에서 FAQ 구축
특성, 동의어 및 불용어
변수 네임스페이스 관리
수정
용어 편집 및 삭제
용어 편집 및 삭제
질문과 응답 편집
Knowledge Graph Training
지식 그래프 분석
봇 온톨로지 가져오기 및 내보내기
지식 그래프 가져오기
지식 그래프 내보내기
지식 그래프 생성
CSV 파일에서
JSON 파일
지식 그래프 생성
경고 작업
스몰 토크
Digital Skills
디지털 양식
Views
Digital Views
Panels
Widgets
기차
봇 성능 향상 – NLP 최적화
기계 학습
소개
모델 검증
기초 의미
지식 그래프 학습
특성
순위 및 해결
고급 NLP 설정
NLP 설정 및 지침
봇 인텔리전스
소개
컨텍스트 관리
컨텍스트 관리
대화 관리
다중 – 의도 탐지
엔티티 수정
기본 대화
정서 관리
어조 분석
Test & Debug
봇과 대화
발화 테스트
배치 테스트하기
대화 테스트
배포
채널 활성화
봇 게시
분석
봇 분석하기
Conversations Dashboard
Performance Dashboard
사용자 정의 대시보드
소개
맞춤형 메타 태그
사용자 정의 대시보드 생성 방법
Conversation Flows
NLP 지표
Containment Metrics
사용량 지표
스마트 봇
소개
범용 봇
소개
범용 봇 정의
범용 봇 생성
범용 봇 학습
범용 봇 커스터마이징
범용 봇용 추가 언어 활성화
스토어
Manage Assistant
플랜 및 사용량
Overview
Usage Plans
Support Plans
플랜 관리
봇 인증
다국어 봇
개인 식별 정보 삭제하기
봇 변수 사용
IVR 통합
일반 설정
봇 관리

방법
간단한 봇 생성하기
Design Conversation Skills
뱅킹 봇 생성
뱅킹 봇 – 자금 이체
뱅킹 봇 – 잔액 업데이트
Knowledge Graph (KG) 구축
스마트 경고를 예약하는 방법
Design Digital Skills
디지털 양식 설정 방법
디지털 보기 설정 방법
데이터 테이블에 데이터를 추가하는 방법
데이터 테이블 내 데이터 업데이트 방법
UI 양식에서 데이터 테이블에 데이터를 추가하는 방법
Train the Assistant
특성 사용 방법
의도와 엔티티에 대한 패턴 사용 방법
컨텍스트 전환 관리 방법
Deploy the Assistant
상담사 전환을 설정하는 방법
봇 기능 사용 방법
콘텐츠 변수 사용 방법
전역 변수 사용 방법
Kore.ai 웹 SDK 튜토리얼
Kore.ai 위젯 SDK 튜토리얼
Analyze the Assistant
사용자 정의 대시보드 생성 방법
사용자 지정 태그를 사용하여 봇 메트릭을 필터링하는 방법

API 및 SDK
API 참조
Kore.ai API 사용
API 목록
API 컬렉션
koreUtil Libraries
SDK 참조
상담사 전환을 설정하는 방법
봇 기능 사용 방법
콘텐츠 변수 사용 방법
전역 변수 사용 방법
소개
Kore.ai 웹 SDK 튜토리얼
Kore.ai 위젯 SDK 튜토리얼

관리
소개
봇 관리자 콘솔
대시보드
사용자 관리
사용자 관리
그룹 관리
역할 관리
봇 관리 모듈
등록
사용자 초대
사용자 등록을 위한 대량 초대 보내기
사용자 및 사용자 데이터 가져오기
Active Directory에서 사용자 동기화
보안 및 준수
싱글 사인 온 사용
보안 설정
Kore.ai 커넥터
봇 관리자용 분석
Billing (지원하지 않음)
  1. Docs
  2. Virtual Assistants
  3. What's New
  4. What’s New

What’s New

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

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.
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