GETTING STARTED
Kore.ai XO Platform
Virtual Assistants Overview
Natural Language Processing (NLP)
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Quick Start Guide
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Building a Virtual Assistant
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Knowledge AI
Introduction
Knowledge Graph
Introduction
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Build a Knowledge Graph
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Answer from Documents
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LLM Integration
Kore.ai XO GPT Module
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Guardrails
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Talk to Bot
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Asana
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Bitly
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Confluence
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DHL
Configure
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Freshdesk
Configure
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Freshservice
Configure
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Google Maps
Configure
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Here
Configure
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HubSpot
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Microsoft Graph
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Open AI
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Salesforce
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Shopify
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Configure Utah and Higher versions
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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
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Deploy the Assistant
Use Bot Functions
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Use Global Variables
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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
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Train the Assistant
Composite Entities
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Use Patterns for Intents & Entities
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Analyze the Assistant
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APIs & SDKs
API Reference
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BotKit SDK
BotKit SDK Deployment Guide
Installing the BotKit SDK
Using the BotKit SDK
SDK Events
SDK Functions
Installing Botkit in AWS
Tutorials
BotKit - Blue Prism
BotKit - Flight Search Sample VA
BotKit - Agent Transfer

ADMINISTRATION
Intro to Bots Admin Console
Administration Dashboard
User Management
Managing Your Users
Managing Your Groups
Role Management
Manage Data Tables and Views
Bot Management
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  1. Home
  2. Docs
  3. Virtual Assistants
  4. Builder
  5. Knowledge Graph
  6. Answer from Documents (Beta)

Answer from Documents (Beta)

Important Note: Starting with the R10.7 release, the Answer from Document feature is now classified as legacy and will no longer receive updates or support. While it will continue to function as before, there will be no further enhancements or improvements.
For better functionality, enhanced performance, ongoing development, and for customers seeking full RAG functionality,  we highly recommend upgrading to XO 11 Search AI.

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.

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.
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.

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.

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. The configure Generative AI & LLM pop-up is displayed.
  3. Click Enable Now. The Generative AI & LLM page is displayed.

  4. Configure the LLM Integration.
  5. To enable Answers from Documents, select the model and toggle the status to enable it.
  6. 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.

Follow these steps:

  1. Navigate to Build > Natural Language > Generative AI & LLM > Dynamic Conversations.
  2. For Answers from Documents, toggle the status to disable it.

 

Answer from Documents (Beta)

Important Note: Starting with the R10.7 release, the Answer from Document feature is now classified as legacy and will no longer receive updates or support. While it will continue to function as before, there will be no further enhancements or improvements.
For better functionality, enhanced performance, ongoing development, and for customers seeking full RAG functionality,  we highly recommend upgrading to XO 11 Search AI.

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.

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.
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.

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.

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. The configure Generative AI & LLM pop-up is displayed.
  3. Click Enable Now. The Generative AI & LLM page is displayed.

  4. Configure the LLM Integration.
  5. To enable Answers from Documents, select the model and toggle the status to enable it.
  6. 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.

Follow these steps:

  1. Navigate to Build > Natural Language > Generative AI & LLM > Dynamic Conversations.
  2. For Answers from Documents, toggle the status to disable it.

 

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