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
SDK Security
SDK Registration
Web Socket Connect and RTM
Installing the BotKit SDK
Using the BotKit SDK
SDK Events
SDK Functions
SDK Tutorials
BotKit - Blue Prism
BotKit - Flight Search Sample VA
BotKit - Agent Transfer
Widget SDK Tutorial
Web SDK Tutorial
ADMINISTRATION
Introduction to Admin Console
Administration Dashboard
User Management
Add Users
Manage Groups
Manage Roles
Data Tables and Views
Assistant Management
Enrollment
Invite Users
Send Bulk Invites
Import User Data
Synchronize Users from AD
Security & Control
Using Single-Sign On (SSO)
Two-Factor Authentication (2FA)
Security Settings
Cloud Connector
Analytics
Billing
  1. Home
  2. Docs
  3. Virtual Assistants
  4. Builder
  5. Knowledge Graph
  6. 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.

Menu