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

Semantic Meaning

Semantic meaning refers to the meaning drawn from text by analyzing their grammatical structure and identifying the relationships between words in a particular context. You can configure this stage to perform semantic analysis on certain types of source data and extract the results to a target field. 

Semantic Meaning Stage Configuration

Use the following properties to configure the documents on which the semantic analysis is to be performed and the fields where the results need to be stored. 

  • Stage Type: Set this to Semantic Meaning.
  • Stage Name: Set a unique name for the stage.
  • Condition:  Use one or more index fields or a custom script to define the condition to identify the documents on which the semantic stage analysis is to be performed.
  • Source Field: The index field on which the semantic analysis should be performed. 
  • Target Field: The target field to save the results of the semantic analysis performed on the corresponding source field.  

 

Note that there can be more than one pair of source and target fields. Use the AND button to add more these fields.

Semantic Meaning

Semantic meaning refers to the meaning drawn from text by analyzing their grammatical structure and identifying the relationships between words in a particular context. You can configure this stage to perform semantic analysis on certain types of source data and extract the results to a target field. 

Semantic Meaning Stage Configuration

Use the following properties to configure the documents on which the semantic analysis is to be performed and the fields where the results need to be stored. 

  • Stage Type: Set this to Semantic Meaning.
  • Stage Name: Set a unique name for the stage.
  • Condition:  Use one or more index fields or a custom script to define the condition to identify the documents on which the semantic stage analysis is to be performed.
  • Source Field: The index field on which the semantic analysis should be performed. 
  • Target Field: The target field to save the results of the semantic analysis performed on the corresponding source field.  

 

Note that there can be more than one pair of source and target fields. Use the AND button to add more these fields.