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. Builder
  4. Knowledge Graph
  5. Answer from Documents (Beta)

Answer from Documents (Beta)

The Answer from Documents feature helps answer end-user queries from unstructured PDF documents without the need to extract individual FAQs and train them. This feature leverages a Large Language Model (LLM) and Generative AI models from OpenAI or Azure OpenAI integration to generate answers by processing uploaded documents and user queries. This is a beta feature and is available in English and Non-English languages supported on the XO Platform.

Important Note: After redacting personally identifiable information, the documents and end-user queries are shared with OpenAI or Azure OpenAI integration to curate the answers. You must agree to enable the feature.

Benefits

  1. Automatically identify and answer FAQs using PDF documents as a source of knowledge;
  2. Knowledge extraction and VA training are not required.

Important Considerations

  1. Answer generation works based on NLU 3.0 and an active integration with OpenAI or Azure OpenAI integration;
  2. Answer from Documents acts as a fallback when none of the three NLP engines identifies any intent (using Dialog Tasks or Knowledge AI FAQs);
  3. Answers are delivered using a Standard Response with the answer as a dynamic variable.

Limitations

  1. You can upload 10 PDF documents, each with a maximum size of 5 MB;
  2. Some requests may get rejected, or responses may delay based on OpenAI or Azure OpenAI service availability;
  3. This is a beta feature, and requests may take longer to process. We do not recommend it for production use cases as it may directly impact your customers’ experience. Our current recommendation is for VA designers to review generated answers and add them to the Knowledge Graph.

Prerequisites

Before using the Answer from Documents feature, you must first perform the following:

  1. Upgrade to NLU 3.0 if you have not already done so. You can upgrade by going to Natural Language > Advanced Settings and clicking Upgrade Now under the NLP Version section.
  2. Configure the OpenAI or Azure OpenAI integration Action. You can find it under Integrations > Actions > OpenAI. Configuring OpenAI Action or Configuring Azure OpenAI Action.

Enable Answer from Documents

To enable the Answer from Documents feature, follow these steps:

  1. Go to Build > Conversation Skills > Knowledge AI.
  2. Under Answer from Documents, click Get Started.
  3. To enable the Answer from Documents feature, you must agree to share uploaded documents and user utterances with OpenAI. Please read the contents of the notification window, then check the checkbox next to I agree to share the uploaded documents and user utterances with OpenAI or Azure OpenAI. Click Enable Now to proceed.
  4. Once the feature has been enabled, you can begin uploading PDF documents.

Upload PDF Documents

To upload PDF documents, follow these steps:

    1. Click the Upload button that displays after enabling the Answer from Documents feature.
    2. Drag and drop your document or click Browse to find it on your computer.
      Note: Filenames must not be longer than 10 characters.

    3. Once selecting the document, you can update its name if required. Click Proceed when ready.

    1. Please wait a few moments until your document uploads. This action may take longer than expected, depending on the file size, your connection speed, and other factors.

    1. When the upload completes successfully, close the upload window.

Uploaded documents are listed under the Answer from Documents section.

Note: After uploading your first document, the Upload Document option moves to the right side of the section, as shown below. You can use it to add up to 10 PDF documents.

View Uploaded PDF Documents

To view the contents of an uploaded document, hover over it and click the corresponding View icon under Actions The document will open within a separate window, where you can browse each page, download, print, etc. The viewer is browser-specific. To exit the document view and return to the Knowledge AI section, click the X on the right side corner.  

Test Answer Generation

A good testing practice for this feature is to ask the VA a question directly related to the contents of your uploaded documents. You can use the Talk to Bot feature to test the answers generated from your uploaded documents. The Debug Log within the Talk to Bot feature and NLP Insights lets you see if a response failure is due to OpenAI or Azure OpenAI timing out.

You can also run Utterance Testing to see results related to use cases where no intent is identified and the query is answered using the Answer from Documents feature.

Batch Testing and Conversation Testing do not use the Answer from Documents feature as a fallback; therefore, no related test results are available. 

Disable Uploaded PDF Documents

Disabled documents are not considered by the VA when providing answers, even if the Answer From Documents feature is active overall. As such, answers are only provided from uploaded documents that are active.  To disable a document, toggle the Status to Inactive  

Delete Uploaded PDF Documents

To delete an uploaded document, hover over it and click the corresponding Delete (bin) icon under Actions You must confirm your choice. Click OK to do so, or Cancel otherwise.

Note that you cannot restore deleted documents. You must upload them again if you change your mind later.

Disable Answer from Documents

If you disable Answer from Documents, queries will no longer be sent to LLMs as a fallback, but documents are stored in the database, and you can enable the feature again later. To disable the feature, turn off the toggle at the far right of the section. You must confirm your choice. Click Confirm to do so or Cancel otherwise.

Your documents stay stored while the feature is disabled. You can re-enable it any time later by turning on the same toggle.

Answer from Documents (Beta)

The Answer from Documents feature helps answer end-user queries from unstructured PDF documents without the need to extract individual FAQs and train them. This feature leverages a Large Language Model (LLM) and Generative AI models from OpenAI or Azure OpenAI integration to generate answers by processing uploaded documents and user queries. This is a beta feature and is available in English and Non-English languages supported on the XO Platform.

Important Note: After redacting personally identifiable information, the documents and end-user queries are shared with OpenAI or Azure OpenAI integration to curate the answers. You must agree to enable the feature.

Benefits

  1. Automatically identify and answer FAQs using PDF documents as a source of knowledge;
  2. Knowledge extraction and VA training are not required.

Important Considerations

  1. Answer generation works based on NLU 3.0 and an active integration with OpenAI or Azure OpenAI integration;
  2. Answer from Documents acts as a fallback when none of the three NLP engines identifies any intent (using Dialog Tasks or Knowledge AI FAQs);
  3. Answers are delivered using a Standard Response with the answer as a dynamic variable.

Limitations

  1. You can upload 10 PDF documents, each with a maximum size of 5 MB;
  2. Some requests may get rejected, or responses may delay based on OpenAI or Azure OpenAI service availability;
  3. This is a beta feature, and requests may take longer to process. We do not recommend it for production use cases as it may directly impact your customers’ experience. Our current recommendation is for VA designers to review generated answers and add them to the Knowledge Graph.

Prerequisites

Before using the Answer from Documents feature, you must first perform the following:

  1. Upgrade to NLU 3.0 if you have not already done so. You can upgrade by going to Natural Language > Advanced Settings and clicking Upgrade Now under the NLP Version section.
  2. Configure the OpenAI or Azure OpenAI integration Action. You can find it under Integrations > Actions > OpenAI. Configuring OpenAI Action or Configuring Azure OpenAI Action.

Enable Answer from Documents

To enable the Answer from Documents feature, follow these steps:

  1. Go to Build > Conversation Skills > Knowledge AI.
  2. Under Answer from Documents, click Get Started.
  3. To enable the Answer from Documents feature, you must agree to share uploaded documents and user utterances with OpenAI. Please read the contents of the notification window, then check the checkbox next to I agree to share the uploaded documents and user utterances with OpenAI or Azure OpenAI. Click Enable Now to proceed.
  4. Once the feature has been enabled, you can begin uploading PDF documents.

Upload PDF Documents

To upload PDF documents, follow these steps:

    1. Click the Upload button that displays after enabling the Answer from Documents feature.
    2. Drag and drop your document or click Browse to find it on your computer.
      Note: Filenames must not be longer than 10 characters.

    3. Once selecting the document, you can update its name if required. Click Proceed when ready.

    1. Please wait a few moments until your document uploads. This action may take longer than expected, depending on the file size, your connection speed, and other factors.

    1. When the upload completes successfully, close the upload window.

Uploaded documents are listed under the Answer from Documents section.

Note: After uploading your first document, the Upload Document option moves to the right side of the section, as shown below. You can use it to add up to 10 PDF documents.

View Uploaded PDF Documents

To view the contents of an uploaded document, hover over it and click the corresponding View icon under Actions The document will open within a separate window, where you can browse each page, download, print, etc. The viewer is browser-specific. To exit the document view and return to the Knowledge AI section, click the X on the right side corner.  

Test Answer Generation

A good testing practice for this feature is to ask the VA a question directly related to the contents of your uploaded documents. You can use the Talk to Bot feature to test the answers generated from your uploaded documents. The Debug Log within the Talk to Bot feature and NLP Insights lets you see if a response failure is due to OpenAI or Azure OpenAI timing out.

You can also run Utterance Testing to see results related to use cases where no intent is identified and the query is answered using the Answer from Documents feature.

Batch Testing and Conversation Testing do not use the Answer from Documents feature as a fallback; therefore, no related test results are available. 

Disable Uploaded PDF Documents

Disabled documents are not considered by the VA when providing answers, even if the Answer From Documents feature is active overall. As such, answers are only provided from uploaded documents that are active.  To disable a document, toggle the Status to Inactive  

Delete Uploaded PDF Documents

To delete an uploaded document, hover over it and click the corresponding Delete (bin) icon under Actions You must confirm your choice. Click OK to do so, or Cancel otherwise.

Note that you cannot restore deleted documents. You must upload them again if you change your mind later.

Disable Answer from Documents

If you disable Answer from Documents, queries will no longer be sent to LLMs as a fallback, but documents are stored in the database, and you can enable the feature again later. To disable the feature, turn off the toggle at the far right of the section. You must confirm your choice. Click Confirm to do so or Cancel otherwise.

Your documents stay stored while the feature is disabled. You can re-enable it any time later by turning on the same toggle.

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