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
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
Web SDK
How the Web SDK Works
SDK Security
SDK Registration
Web Socket Connect and RTM
Tutorials
Widget SDK Tutorial
Web SDK Tutorial
BotKit SDK
BotKit SDK Deployment Guide
Installing the BotKit SDK
Using the BotKit SDK
SDK Events
SDK Functions
Tutorials
BotKit - Blue Prism
BotKit - Flight Search Sample VA
BotKit - Agent Transfer
  1. Home
  2. Docs
  3. Virtual Assistants
  4. How Tos
  5. Building a Knowledge Graph

Building a Knowledge Graph

This article helps to quickly build and understand the working of a Knowledge Graph for your bot. It shows how to convert an FAQ into ontology, add tags, use terms, add alternate questions, synonyms, tags, and traits.

For the implementation details, refer here.

Throughout this example we will be dealing with the following FAQs related to a banking bot:

  • How do I apply for a debit card?
  • How do I apply for a checkbook?
  • How do I open a joint account?
  • Can I add a joint account holder?

Static FAQ

Let us start by creating a static FAQ without an ontology.

To add a static FAQ, follow the below steps:

  1. Open the bot.
  2. Select the Build tab from the top menu
  3. On the left pane, click Conversational Skills > Knowledge Graph.
  4. Click Create to create a Knowledge Graph.
  5. A Knowledge Graph with the name set to the Bot Name is created.
  6. Click Add Intent to start entering your FAQs.
  7. Select Intent type as FAQ
  8. Add Question and Bot Response; then click Save.
  9. Click Add Intent on the top-right to add more Q&As.
  10. After you enter all the Q&As, click Train to train the Knowledge Graph.
  11. Click Talk to Bot at the bottom-right to check the bot response for the added Q&As.

Tags

  • Issue: Try the utterance how do I apply for a credit card?
    We will get did you mean dialog with reference to a question pertaining to Debit Card, which is not appropriate in this scenario. Ideally, we should see an I don’t know response as you get for a totally unrelated query regarding weather.

Solution

To overcome the above situation, we can add tags to each question. Tags help filter the FAQs based upon the presence of some key phrases in the user utterance.

Steps in adding Tags:

  1. Hover over the Question to find the edit icon.
  2. Click the edit icon to add a tag to the question.
  3. In the add tag text box, you can find some suggestions by the platform based on the phrases present in the question. You can pick one from the list or type your own custom tag.
  4. For this use case, we can pick the debit card tag as suggested by the platform and Save the changes.
  5. Similarly, add a checkbook for the How to apply for checkbook question.
  6. Train the bot.
  7. Talk to the Bot, use the same utterance how do I apply for a credit card?

Ontology

For a better bot response, you must add tags for every question. But this solution is not feasible in case we have a big list of FAQs. Also, more than one question can have a tag(s) in common.

Solution: Ontology. Based on crucial words and frequently occurring words/phrases, FAQs are organized into groups and subgroups.

Example of Ontology: Continuing with the Banking bot FAQ example, we can organize the questions thus:

  • Apply
    • Debit Card
      • How do I apply for a debit card?
    • Checkbook
      • How do I apply for a credit card?
  • Joint account
    • How do I open a Joint account?
    • Can I add a joint account holder?

Each group can be a node in the ontology. You can have multiple levels of the nodes forming a hierarchical structure. Moving the relevant FAQs (intents) to the nodes will associate that FAQ with the corresponding node name set as a tag.

To create an ontology, follow the below steps:

  1. Hover over the Knowledge Graph name on the left pane and click + icon to Add Child Node.
  2. Add the Nodes as Apply and Joint Account.
  3. To add subgroups, hover over the node and use the corresponding + icon to add child nodes.
  4. Select the questions pertaining to Joint Account and drag and drop them to the Joint Account node.
  5. Repeat the process for questions related to Apply, Debit Card, and Checkbook nodes.
  6. You will notice the path gets updated accordingly.
  7. Edit a question and see that the node name is added as a tag.
  8. This ensures that this question is qualified for a user utterance containing the term/node name. Note that the tags you added earlier are retained and you can delete them, whereas the node names cannot be deleted.
  9. Train the Knowledge Graph and Talk to Bot.
  10. There should not be any changes in the bot responses.

Term Usage

By default, the node names or terms are used in evaluating the path and coming up with a set of qualifying questions. You can tighten or relax this rule by either making the term mandatory in the utterance or marking the term/node as organizer respectively.

Before proceeding, let us add a few more nodes questions to our Knowledge Collection:

  • Account
    • How do I open an account?
    • How do I access my account?
    • How do I check my account balance?
    • How do I access my account online?
  • Contact
    • Who do I contact in case of an issue?
    • What is your helpline number?
  • Complaints
    • Where can I register my query/complaints?
  • Issues
    • How do I report a stolen card?

Use Case 1: You want to ensure that the intents regarding Joint Account must be considered only when the user asked a direct question regarding the same. Any ambiguous cases must consider the Account node and not the Joint Account node.

To address this case, we mark the term Joint Account as Mandatory. This helps improve the bot’s performance.

Steps:

  1. Hover over the node, in this case, Joint Account, and click on the settings icon.
  2. From the Settings section, select the Mandatory option from the dropdown next to the term name.
  3. Save and Train the Knowledge Collection.
  4. Now the questions under this node are considered only if the user utterance has the node name, Joint Account in this case.

Use Case 2: Consider the following FAQs.

  • Contact
    • Who do I contact in case of an issue?
    • What is your helpline number?
  • Complaints
    • Where can I register my query/complaints?
  • Issues
    • How do I report a stolen card?

Though they do not have any phrases or terms in common, they are related to Customer Care. For ease of understanding, we can put them under a node by the same name and mark it as Organizer node, ensuring that the intents get qualified without the need to have the term phrase in the user utterance.

Steps:

  1. Create a node Customer Care.
  2. Drag and drop the above three nodes to this new node.
  3. Hover over the node, in this case, Customer Care, and click on the settings icon.
  4. From the Settings page, select the Organizer option.
  5. Save and Train the Knowledge Collection.
  6. Now the questions under this node are considered even if the user utterance does not include the node name.

Synonyms

Use Case: Try How do I get a debit card? you will get a suggestive match not definitive. The reason being the bot does not understand get as being the same as apply.

Solution: Synonyms

To add synonyms, follow the below steps:

  1. Hover over the Apply node and click the settings icon.
  2. In the Path Level Synonyms, add get.
  3. Save and Train the Bot.
  4. Talk to Bot and use the same query How do I get a debit card?
  5. Try How do I get a checkbook and you will see that the synonym works here also. This is because we added the synonym at path level and it is applicable to all nodes and questions under that path/node.
  6. Similarly, we can define Knowledge Graph Synonym if it is applicable to the entire knowledge graph.

Alternate Questions

Some questions have multiple ways the user can approach them.

  • Is there a way to see my account details from my laptop?
  • Is there a mobile app that I can use to access my account?
  • Does your bank support internet banking to view account details?

All these questions pertain to one intent: How do I access my account online?. But instead of adding all these Q&As as intents and repeat the response and the settings, if any, you can add these questions as alternate questions.

To add alternate questions, follow the below steps:

  1. Hover over the question, in this case, How do I access my account online? and click the edit icon.
  2. In the Add alternate question enter the question.
  3. Add all the three queries mentioned above.
  4. Save, Train, and Talk to the Bot.
  5. Entering any of the above three questions will yield the same response as the question How do I access my account online?

Tasks Execution

Consider the query How do I check my account balance?. If the bot has a task that can give the balance, we can direct the user to the same, instead of asking the user to use the utterance to trigger the task.

To trigger a task, follow the below steps:

  1. Before proceeding, ensure that you have a task defined for Check Balance. Let us consider a dummy dialog that displays a message.
  2. Add the Add Intent How do I check my account balance?
  3. Set Intent to Task.
  4. From the drop-down list select the Dialog Task name Check Balance.
  5. Save and Train the Knowledge Graph.
  6. Talk to bot with the utterance How do I check my account balance? will trigger the Check Balance task.

Tags in Ontology

Use Case: Does your bank give a passbook to view account details? You will get Did you mean How do I access my account online?.

The reason being the alternate question for online account access: Does your bank support internet banking to view account details? is a very close match to the above query. You can avoid such situations by adding a tag internet banking and marking it as mandatory to the alternate question Does your bank support internet banking to view account details?.

Solution: Custom Tags

To add tags, follow the below steps:

  1. Edit the question How do I access my account online?
  2. For the alternate question Does your bank support internet banking to view account details?
    1. Add the tag internet-banking.
    2. Click the tag to open the Tag Settings dialog and set Tag Usage to Mandatory.
    3. Click Done.
  3. Repeat for the alternate question Is there a mobile app that I can use to access my account? with the tag mobile app.
  4. Save and Train the bot.
  5. Now Talk to the Bot and see the response.

Traits

Use Case: I lost my card, how do I apply for another debit card?
You will get the response with How do I apply for a debit card?.

While this is a valid response it is not the right one. Ideally, since the user said I lost my card bot must direct the user to report a stolen card.

Solution: Traits. Traits are used to get additional information from user utterance and direct the user to a better solution.

To add traits, follow the below steps:

  1. First, add this question as an alternate question to How do I report a stolen card?.
  2. Save and Train the bot.
  3. Talk to bot and ask the same question. You will get the same response.
  4. Now let us see how to add Trait.
  5. Define Trait:
    1. From the more option next to the Train button, select the Manage Traits option.
    2. Click New Trait to create a New Trait.
    3. Give a Trait Type and add Traits to it. Here, let us consider Issues as Trait Type and lostcard as Trait.
    4. Add lost my card as the utterance that triggers this trait. (Do not forget to hit enter after you add the utterance).
    5. Save and Train the trait.
  6. Apply Trait
    1. From the ontology, go to the Issues node Settings page.
    2. Add lostcard as Trait (pick from the drop-down list).
    3. Save and Train the Knowledge Graph.
    4. Talk to the Bot and try the same question. Now you will get the expected response.

In this document you have seen various settings for building and managing Knowledge Graph. For details regarding the implementation and working of Knowledge Graph, refer to this document.

Building a Knowledge Graph

This article helps to quickly build and understand the working of a Knowledge Graph for your bot. It shows how to convert an FAQ into ontology, add tags, use terms, add alternate questions, synonyms, tags, and traits.

For the implementation details, refer here.

Throughout this example we will be dealing with the following FAQs related to a banking bot:

  • How do I apply for a debit card?
  • How do I apply for a checkbook?
  • How do I open a joint account?
  • Can I add a joint account holder?

Static FAQ

Let us start by creating a static FAQ without an ontology.

To add a static FAQ, follow the below steps:

  1. Open the bot.
  2. Select the Build tab from the top menu
  3. On the left pane, click Conversational Skills > Knowledge Graph.
  4. Click Create to create a Knowledge Graph.
  5. A Knowledge Graph with the name set to the Bot Name is created.
  6. Click Add Intent to start entering your FAQs.
  7. Select Intent type as FAQ
  8. Add Question and Bot Response; then click Save.
  9. Click Add Intent on the top-right to add more Q&As.
  10. After you enter all the Q&As, click Train to train the Knowledge Graph.
  11. Click Talk to Bot at the bottom-right to check the bot response for the added Q&As.

Tags

  • Issue: Try the utterance how do I apply for a credit card?
    We will get did you mean dialog with reference to a question pertaining to Debit Card, which is not appropriate in this scenario. Ideally, we should see an I don’t know response as you get for a totally unrelated query regarding weather.

Solution

To overcome the above situation, we can add tags to each question. Tags help filter the FAQs based upon the presence of some key phrases in the user utterance.

Steps in adding Tags:

  1. Hover over the Question to find the edit icon.
  2. Click the edit icon to add a tag to the question.
  3. In the add tag text box, you can find some suggestions by the platform based on the phrases present in the question. You can pick one from the list or type your own custom tag.
  4. For this use case, we can pick the debit card tag as suggested by the platform and Save the changes.
  5. Similarly, add a checkbook for the How to apply for checkbook question.
  6. Train the bot.
  7. Talk to the Bot, use the same utterance how do I apply for a credit card?

Ontology

For a better bot response, you must add tags for every question. But this solution is not feasible in case we have a big list of FAQs. Also, more than one question can have a tag(s) in common.

Solution: Ontology. Based on crucial words and frequently occurring words/phrases, FAQs are organized into groups and subgroups.

Example of Ontology: Continuing with the Banking bot FAQ example, we can organize the questions thus:

  • Apply
    • Debit Card
      • How do I apply for a debit card?
    • Checkbook
      • How do I apply for a credit card?
  • Joint account
    • How do I open a Joint account?
    • Can I add a joint account holder?

Each group can be a node in the ontology. You can have multiple levels of the nodes forming a hierarchical structure. Moving the relevant FAQs (intents) to the nodes will associate that FAQ with the corresponding node name set as a tag.

To create an ontology, follow the below steps:

  1. Hover over the Knowledge Graph name on the left pane and click + icon to Add Child Node.
  2. Add the Nodes as Apply and Joint Account.
  3. To add subgroups, hover over the node and use the corresponding + icon to add child nodes.
  4. Select the questions pertaining to Joint Account and drag and drop them to the Joint Account node.
  5. Repeat the process for questions related to Apply, Debit Card, and Checkbook nodes.
  6. You will notice the path gets updated accordingly.
  7. Edit a question and see that the node name is added as a tag.
  8. This ensures that this question is qualified for a user utterance containing the term/node name. Note that the tags you added earlier are retained and you can delete them, whereas the node names cannot be deleted.
  9. Train the Knowledge Graph and Talk to Bot.
  10. There should not be any changes in the bot responses.

Term Usage

By default, the node names or terms are used in evaluating the path and coming up with a set of qualifying questions. You can tighten or relax this rule by either making the term mandatory in the utterance or marking the term/node as organizer respectively.

Before proceeding, let us add a few more nodes questions to our Knowledge Collection:

  • Account
    • How do I open an account?
    • How do I access my account?
    • How do I check my account balance?
    • How do I access my account online?
  • Contact
    • Who do I contact in case of an issue?
    • What is your helpline number?
  • Complaints
    • Where can I register my query/complaints?
  • Issues
    • How do I report a stolen card?

Use Case 1: You want to ensure that the intents regarding Joint Account must be considered only when the user asked a direct question regarding the same. Any ambiguous cases must consider the Account node and not the Joint Account node.

To address this case, we mark the term Joint Account as Mandatory. This helps improve the bot’s performance.

Steps:

  1. Hover over the node, in this case, Joint Account, and click on the settings icon.
  2. From the Settings section, select the Mandatory option from the dropdown next to the term name.
  3. Save and Train the Knowledge Collection.
  4. Now the questions under this node are considered only if the user utterance has the node name, Joint Account in this case.

Use Case 2: Consider the following FAQs.

  • Contact
    • Who do I contact in case of an issue?
    • What is your helpline number?
  • Complaints
    • Where can I register my query/complaints?
  • Issues
    • How do I report a stolen card?

Though they do not have any phrases or terms in common, they are related to Customer Care. For ease of understanding, we can put them under a node by the same name and mark it as Organizer node, ensuring that the intents get qualified without the need to have the term phrase in the user utterance.

Steps:

  1. Create a node Customer Care.
  2. Drag and drop the above three nodes to this new node.
  3. Hover over the node, in this case, Customer Care, and click on the settings icon.
  4. From the Settings page, select the Organizer option.
  5. Save and Train the Knowledge Collection.
  6. Now the questions under this node are considered even if the user utterance does not include the node name.

Synonyms

Use Case: Try How do I get a debit card? you will get a suggestive match not definitive. The reason being the bot does not understand get as being the same as apply.

Solution: Synonyms

To add synonyms, follow the below steps:

  1. Hover over the Apply node and click the settings icon.
  2. In the Path Level Synonyms, add get.
  3. Save and Train the Bot.
  4. Talk to Bot and use the same query How do I get a debit card?
  5. Try How do I get a checkbook and you will see that the synonym works here also. This is because we added the synonym at path level and it is applicable to all nodes and questions under that path/node.
  6. Similarly, we can define Knowledge Graph Synonym if it is applicable to the entire knowledge graph.

Alternate Questions

Some questions have multiple ways the user can approach them.

  • Is there a way to see my account details from my laptop?
  • Is there a mobile app that I can use to access my account?
  • Does your bank support internet banking to view account details?

All these questions pertain to one intent: How do I access my account online?. But instead of adding all these Q&As as intents and repeat the response and the settings, if any, you can add these questions as alternate questions.

To add alternate questions, follow the below steps:

  1. Hover over the question, in this case, How do I access my account online? and click the edit icon.
  2. In the Add alternate question enter the question.
  3. Add all the three queries mentioned above.
  4. Save, Train, and Talk to the Bot.
  5. Entering any of the above three questions will yield the same response as the question How do I access my account online?

Tasks Execution

Consider the query How do I check my account balance?. If the bot has a task that can give the balance, we can direct the user to the same, instead of asking the user to use the utterance to trigger the task.

To trigger a task, follow the below steps:

  1. Before proceeding, ensure that you have a task defined for Check Balance. Let us consider a dummy dialog that displays a message.
  2. Add the Add Intent How do I check my account balance?
  3. Set Intent to Task.
  4. From the drop-down list select the Dialog Task name Check Balance.
  5. Save and Train the Knowledge Graph.
  6. Talk to bot with the utterance How do I check my account balance? will trigger the Check Balance task.

Tags in Ontology

Use Case: Does your bank give a passbook to view account details? You will get Did you mean How do I access my account online?.

The reason being the alternate question for online account access: Does your bank support internet banking to view account details? is a very close match to the above query. You can avoid such situations by adding a tag internet banking and marking it as mandatory to the alternate question Does your bank support internet banking to view account details?.

Solution: Custom Tags

To add tags, follow the below steps:

  1. Edit the question How do I access my account online?
  2. For the alternate question Does your bank support internet banking to view account details?
    1. Add the tag internet-banking.
    2. Click the tag to open the Tag Settings dialog and set Tag Usage to Mandatory.
    3. Click Done.
  3. Repeat for the alternate question Is there a mobile app that I can use to access my account? with the tag mobile app.
  4. Save and Train the bot.
  5. Now Talk to the Bot and see the response.

Traits

Use Case: I lost my card, how do I apply for another debit card?
You will get the response with How do I apply for a debit card?.

While this is a valid response it is not the right one. Ideally, since the user said I lost my card bot must direct the user to report a stolen card.

Solution: Traits. Traits are used to get additional information from user utterance and direct the user to a better solution.

To add traits, follow the below steps:

  1. First, add this question as an alternate question to How do I report a stolen card?.
  2. Save and Train the bot.
  3. Talk to bot and ask the same question. You will get the same response.
  4. Now let us see how to add Trait.
  5. Define Trait:
    1. From the more option next to the Train button, select the Manage Traits option.
    2. Click New Trait to create a New Trait.
    3. Give a Trait Type and add Traits to it. Here, let us consider Issues as Trait Type and lostcard as Trait.
    4. Add lost my card as the utterance that triggers this trait. (Do not forget to hit enter after you add the utterance).
    5. Save and Train the trait.
  6. Apply Trait
    1. From the ontology, go to the Issues node Settings page.
    2. Add lostcard as Trait (pick from the drop-down list).
    3. Save and Train the Knowledge Graph.
    4. Talk to the Bot and try the same question. Now you will get the expected response.

In this document you have seen various settings for building and managing Knowledge Graph. For details regarding the implementation and working of Knowledge Graph, refer to this document.

Menu