GETTING STARTED
SearchAssist Overview
SearchAssist Introduction
Onboarding SearchAssist
Build your first App
Glossary
Release Notes
What's new in SearchAssist
Previous Versions

CONCEPTS
Managing Sources
Introduction
Files
Web Pages
FAQs
Structured Data 
Connectors
Introduction to Connectors
Azure Storage Connector
Confluence Cloud Connector
Confluence Server Connector
Custom Connector
DotCMS Connector
Dropbox Connector
Google Drive Connector
Oracle Knowledge Connector
Salesforce Connector
ServiceNow Connector
SharePoint Connector
Zendesk Connector
RACL
Virtual Assistants
Managing Indices
Introduction
Index Fields
Traits
Workbench
Introduction to Workbench
Field Mapping
Entity Extraction
Traits Extraction
Keyword Extraction
Exclude Document
Semantic Meaning
Snippet Extraction
Custom LLM Prompts
Index Settings
Index Languages
Managing Chunks
Chunk Browser
Managing Relevance
Introduction
Weights
Highlighting
Presentable
Synonyms
Stop Words
Search Relevance
Spell Correction
Prefix Search
Custom Configurations
Personalizing Results
Introduction
Answer Snippets
Introduction
Extractive Model
Generative Model
Enabling Both Models
Simulation and Testing
Debugging
Best Practices and Points to Remember
Troubleshooting Answers
Answer Snippets Support Across Content Sources
Result Ranking
Facets
Business Rules
Introduction
Contextual Rules
NLP Rules
Engagement
Small Talk
Bot Actions
Designing Search Experience
Introduction
Search Interface
Result Templates
Testing
Preview and Test
Debug Tool
Running Experiments
Introduction
Experiments
Analyzing Search Performance
Overview
Dashboard
User Engagement
Search Insights
Result Insights
Answer Insights

ADMINISTRATION
General Settings
Credentials
Channels
Team
Collaboration
Integrations
OpenAI Integration
Azure OpenAI Integration
Custom Integration
Billing and Usage
Plan Details
Usage Logs
Order and Invoices
Smart Hibernation

SearchAssist APIs
API Introduction
API List

SearchAssist SDK

HOW TOs
Use Custom Fields to Filter Search Results and Answers
Add Custom Metadata to Ingested Content
Write Painless Scripts
Configure Business Rules for Generative Answers

Traits Extraction

Traits refer to specific attributes that search users might express in their conversations and may be useful for intent detection. You can use this stage to extract traits from a source field and save the identified traits to a target field so that you can use them to detect user intentions better. Note that you should define trait groups before configuring this stage.  

For example, in the following statement , “My flight is late, I might miss my connecting flight “ , the utterances do not directly convey any specific intent, but the traits present in the utterance like  ‘Flight Delay’ can be used in driving the intent detection. 

Trait Extraction Configuration

To configure this stage, use the following fields:

  • Stage Type – Set this to Traits Extraction
  • Stage Name – Provide a name with which you want to refer to the stage. 
  • Condition – The condition used to identify the documents or records which will be processed in the traits extraction stage. 
  • Stage Definition – The traits to be extracted from a given field and the target field for the traits. 

 

Source Field The field from which the traits need to be extracted or identified.  
Add Trait Group The trait group which needs to be extracted from the source. All the traits from the traits group will be extracted from the source field. You can only select one of the configured trait groups. 
Target Field The field where the extracted trait is saved. If this field does not already exist as an index field, it will be added to the list of index fields. 

Traits Extraction

Traits refer to specific attributes that search users might express in their conversations and may be useful for intent detection. You can use this stage to extract traits from a source field and save the identified traits to a target field so that you can use them to detect user intentions better. Note that you should define trait groups before configuring this stage.  

For example, in the following statement , “My flight is late, I might miss my connecting flight “ , the utterances do not directly convey any specific intent, but the traits present in the utterance like  ‘Flight Delay’ can be used in driving the intent detection. 

Trait Extraction Configuration

To configure this stage, use the following fields:

  • Stage Type – Set this to Traits Extraction
  • Stage Name – Provide a name with which you want to refer to the stage. 
  • Condition – The condition used to identify the documents or records which will be processed in the traits extraction stage. 
  • Stage Definition – The traits to be extracted from a given field and the target field for the traits. 

 

Source Field The field from which the traits need to be extracted or identified.  
Add Trait Group The trait group which needs to be extracted from the source. All the traits from the traits group will be extracted from the source field. You can only select one of the configured trait groups. 
Target Field The field where the extracted trait is saved. If this field does not already exist as an index field, it will be added to the list of index fields.