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. Natural Language
  4. LLM and Generative AI
  5. LLM Integration

LLM Integration

To use LLM and Generative AI features, you must configure the integration with a pre-built or custom LLM.

Pre-built LLM Integration

The XO Platform offers seamless integration with leading AI services like Azure OpenAI, OpenAI, and Anthropic. Utilizing pre-configured prompts and APIs, you can effortlessly tap into the core capabilities of these services. Although you can customize certain elements, the overall structure adheres to a standardized format for simplicity. You can quickly realize the potential of LLM with the XO platform’s plug-and-play integration with premium AI services.

Configure Pre-built LLM Integration

Steps to configure a pre-built LLM:

  1. Go to Build > Natural Language > Generative AI & LLM > LLM Integrations.

  2. Choose the LLM you want to configure.
    1. Steps to configure Azure OpenAI:
      1. Click Configure Now for Azure OpenAI.

      2. On the Authorization tab, enter the details like API Key and the User Sub Doman. Toggle on the required model and enter Deployment ID.
      3. Read the Policy Guidelines, select the checkbox, and click Save.
    2. Steps to configure OpenAI:
      1. Click Configure Now for OpenAI.

      2. On the Authorization tab, enter the API Key.
      3. Read the Policy Guidelines, select the checkbox, and click Save.
    3. Steps to configure Anthropic:
      1. Click Configure Now for Anthropic.

      2. On the Authorization tab, enter the API Key.
      3. Read the Policy Guidelines, select the checkbox, and click Save.
  3. The configured model is listed in the LLM Integrations section. The status changed to X/Y models configured, where X is the number of the model(s) configured, and Y is the number of model(s) supported.
  4. If you want to configure another model, click +New Integration and select the model.
  5. The next step is to enable Co-Pilot and Dynamic Conversations features.

Custom LLM Integration Framework

The XO Platform now enables enterprises to power up their virtual assistants with any Large Language Model (LLM) of their preference. The bring-your-own (BYO) model framework supports integrations with externally hosted models by third parties as well as models hosted by the enterprises themselves. It allows the creation of custom prompts that are optimized for their specific purposes and models. This generic framework works seamlessly with the Auth Profiles module of the platform, enabling enterprises to use the authentication mechanism of their choice.

Note: Generative AI features are available for English and non-English NLU and VA languages on the Kore.ai XO Platform. However, custom LLM-specific features are currently limited to English.

Configure Custom LLM Integration

You can integrate a custom LLM and build your Prompts and Requests Library for specific features.

Steps to integrate a Custom LLM:

  1. Go to Build > Natural Language > Generative AI & LLM > LLM Integrations.
  2. Click Custom LLM.

    If you have already configured a model, click +New Integration > Custom Integration.

  3. On the Configuration tab, enter the details like Integration Name, Model Name, Endpoint, and Headers.

  4. On the Auth tab, select an existing authorization profile from the drop-down or create a new profile  to use for this request. For more information, see the Bot Authorization Overview article.

    Note: OAuth v2.0 and Kerberos SPNEGO auth profiles are supported for the Custom LLM integration.
  5. Click Test. The Request Body to test LLM Connection pop-up is displayed.

  6. Enter the test payload and then click Test to check the connection. If the LLM connection is successful during the test call, it displays a confirmation message. If not, it shows an error message.

  7. Please Read Policy Guidelines, select the check box, and then click Save.
  8. The success confirmation message is displayed on the screen. The configured model is listed in the LLM Integration section. The status changed to X/Y models configured, where X is the number of the model(s) configured, and Y is the number of model(s) supported.

  9. The next step is to add Prompts.

Kore.ai XO GPT Integration

The new Kore.ai XO GPT Models module provides fine-tuned large language models optimized for enterprise conversational AI applications. These models have been evaluated and fine-tuned to be accurate, safe, and efficient for production deployment. Initial capabilities include Conversation Summarization and User Query Rephrasing. Learn more.

Note: The Kore.ai XO GPT Module is currently available only for English language interactions. The respective models are available only in our global deployment (US Cloud – https://bots.kore.ai).

Enable Kore.ai XO GPT Integration

Steps to enable Kore.ai XO GPT Models.

  1. Go to Build > Natural Language > Generative AI & LLM > LLM Integrations.
  2. Click Enable Now for Kore.ai XO GPT.

    If you have already configured a model, click +New Integration > Kore.ai XO GPT.
  3. On the Models tab, toggle on the models as required.

  4. Read the Policy Guidelines, select the checkbox, and click Save.
  5. The success confirmation message is displayed on the screen. The configured model is listed in the LLM Integration section. The status changed to X/Y models configured, where X is the number of the model(s) configured, and Y is the number of model(s) supported.

  6. The next step is to enable Co-Pilot and Dynamic Conversations features.

Reset/Delete the Configured LLM Integration

If not using a configured LLM, you can reset Kore.ai XO GPT and prebuilt integration using the Reset Configuration option. However, you can Delete custom integrations.

When you reset/delete the integration, the system does the following:

  • Removes all the integration details like keys, endpoints, deployment names, etc.
  • The system removes the model from the selection list of supported LLM features and turns off the respective feature. You can select another configured and supported LLM for that feature.
  • Deletes the related Prompts and Responses.
Note: This change impacts only the in-development copy of the VA. The changes will apply to the published version when you later publish the VA with NLP configurations.

Reset Configured Pre-build LLM Integration

Steps to reset an integration:

  1. Go to Build > Natural Language > Generative AI & LLM.
  2. In the LLM Integration section, click three dots (more icons) and then click the Reset Configuration for the integration you want to reset.

  3. Click Reset in the confirmation dialog.

  4. The success message is displayed.

Delete Configured Custom LLM Integration

Steps to delete an integration:

  1. Go to Build > Natural Language > Generative AI & LLM.
  2. In the LLM Integration section, click three dots (more icons) and then click Delete for the integration you want to delete.
  3. Click Delete in the confirmation dialog.

  4. The success message is displayed.

Reset Configured Kore.ai XO GPT Integration

Steps to reset an integration:

  1. Go to Build > Natural Language > Generative AI & LLM.
  2. In the LLM Integration section, click three dots (more icons) for Kore.ai XO GPT and then click the Reset Configuration for the integration you want to reset.

  3. Click Reset in the confirmation dialog.

  4. The success message is displayed.

LLM Integration

To use LLM and Generative AI features, you must configure the integration with a pre-built or custom LLM.

Pre-built LLM Integration

The XO Platform offers seamless integration with leading AI services like Azure OpenAI, OpenAI, and Anthropic. Utilizing pre-configured prompts and APIs, you can effortlessly tap into the core capabilities of these services. Although you can customize certain elements, the overall structure adheres to a standardized format for simplicity. You can quickly realize the potential of LLM with the XO platform’s plug-and-play integration with premium AI services.

Configure Pre-built LLM Integration

Steps to configure a pre-built LLM:

  1. Go to Build > Natural Language > Generative AI & LLM > LLM Integrations.

  2. Choose the LLM you want to configure.
    1. Steps to configure Azure OpenAI:
      1. Click Configure Now for Azure OpenAI.

      2. On the Authorization tab, enter the details like API Key and the User Sub Doman. Toggle on the required model and enter Deployment ID.
      3. Read the Policy Guidelines, select the checkbox, and click Save.
    2. Steps to configure OpenAI:
      1. Click Configure Now for OpenAI.

      2. On the Authorization tab, enter the API Key.
      3. Read the Policy Guidelines, select the checkbox, and click Save.
    3. Steps to configure Anthropic:
      1. Click Configure Now for Anthropic.

      2. On the Authorization tab, enter the API Key.
      3. Read the Policy Guidelines, select the checkbox, and click Save.
  3. The configured model is listed in the LLM Integrations section. The status changed to X/Y models configured, where X is the number of the model(s) configured, and Y is the number of model(s) supported.
  4. If you want to configure another model, click +New Integration and select the model.
  5. The next step is to enable Co-Pilot and Dynamic Conversations features.

Custom LLM Integration Framework

The XO Platform now enables enterprises to power up their virtual assistants with any Large Language Model (LLM) of their preference. The bring-your-own (BYO) model framework supports integrations with externally hosted models by third parties as well as models hosted by the enterprises themselves. It allows the creation of custom prompts that are optimized for their specific purposes and models. This generic framework works seamlessly with the Auth Profiles module of the platform, enabling enterprises to use the authentication mechanism of their choice.

Note: Generative AI features are available for English and non-English NLU and VA languages on the Kore.ai XO Platform. However, custom LLM-specific features are currently limited to English.

Configure Custom LLM Integration

You can integrate a custom LLM and build your Prompts and Requests Library for specific features.

Steps to integrate a Custom LLM:

  1. Go to Build > Natural Language > Generative AI & LLM > LLM Integrations.
  2. Click Custom LLM.

    If you have already configured a model, click +New Integration > Custom Integration.

  3. On the Configuration tab, enter the details like Integration Name, Model Name, Endpoint, and Headers.

  4. On the Auth tab, select an existing authorization profile from the drop-down or create a new profile  to use for this request. For more information, see the Bot Authorization Overview article.

    Note: OAuth v2.0 and Kerberos SPNEGO auth profiles are supported for the Custom LLM integration.
  5. Click Test. The Request Body to test LLM Connection pop-up is displayed.

  6. Enter the test payload and then click Test to check the connection. If the LLM connection is successful during the test call, it displays a confirmation message. If not, it shows an error message.

  7. Please Read Policy Guidelines, select the check box, and then click Save.
  8. The success confirmation message is displayed on the screen. The configured model is listed in the LLM Integration section. The status changed to X/Y models configured, where X is the number of the model(s) configured, and Y is the number of model(s) supported.

  9. The next step is to add Prompts.

Kore.ai XO GPT Integration

The new Kore.ai XO GPT Models module provides fine-tuned large language models optimized for enterprise conversational AI applications. These models have been evaluated and fine-tuned to be accurate, safe, and efficient for production deployment. Initial capabilities include Conversation Summarization and User Query Rephrasing. Learn more.

Note: The Kore.ai XO GPT Module is currently available only for English language interactions. The respective models are available only in our global deployment (US Cloud – https://bots.kore.ai).

Enable Kore.ai XO GPT Integration

Steps to enable Kore.ai XO GPT Models.

  1. Go to Build > Natural Language > Generative AI & LLM > LLM Integrations.
  2. Click Enable Now for Kore.ai XO GPT.

    If you have already configured a model, click +New Integration > Kore.ai XO GPT.
  3. On the Models tab, toggle on the models as required.

  4. Read the Policy Guidelines, select the checkbox, and click Save.
  5. The success confirmation message is displayed on the screen. The configured model is listed in the LLM Integration section. The status changed to X/Y models configured, where X is the number of the model(s) configured, and Y is the number of model(s) supported.

  6. The next step is to enable Co-Pilot and Dynamic Conversations features.

Reset/Delete the Configured LLM Integration

If not using a configured LLM, you can reset Kore.ai XO GPT and prebuilt integration using the Reset Configuration option. However, you can Delete custom integrations.

When you reset/delete the integration, the system does the following:

  • Removes all the integration details like keys, endpoints, deployment names, etc.
  • The system removes the model from the selection list of supported LLM features and turns off the respective feature. You can select another configured and supported LLM for that feature.
  • Deletes the related Prompts and Responses.
Note: This change impacts only the in-development copy of the VA. The changes will apply to the published version when you later publish the VA with NLP configurations.

Reset Configured Pre-build LLM Integration

Steps to reset an integration:

  1. Go to Build > Natural Language > Generative AI & LLM.
  2. In the LLM Integration section, click three dots (more icons) and then click the Reset Configuration for the integration you want to reset.

  3. Click Reset in the confirmation dialog.

  4. The success message is displayed.

Delete Configured Custom LLM Integration

Steps to delete an integration:

  1. Go to Build > Natural Language > Generative AI & LLM.
  2. In the LLM Integration section, click three dots (more icons) and then click Delete for the integration you want to delete.
  3. Click Delete in the confirmation dialog.

  4. The success message is displayed.

Reset Configured Kore.ai XO GPT Integration

Steps to reset an integration:

  1. Go to Build > Natural Language > Generative AI & LLM.
  2. In the LLM Integration section, click three dots (more icons) for Kore.ai XO GPT and then click the Reset Configuration for the integration you want to reset.

  3. Click Reset in the confirmation dialog.

  4. The success message is displayed.
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