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

Insights & Analytics

The analytics feature of the SearchAssist application provides real-time, interactive, and smart insights about the application’s operational intelligence. Analytics is built with out-of-the-box dashboards that you can use instantly. These dashboards provide analysis to measure the performance of the application.

In SearchAssist, Analytics provides an overview of various metrics as a measurement to compare and track the performance of the application. These metrics can be further categorized as follows:

  • Analytics would include the metrics related to the usage of the search assist application:
    • Dashboard – The dashboard gives an overview of the application. It displays the analytical data based on total users, total searches, result rate, clicks, and average click position. For more information, refer to Dashboard.
    • User Engagement – The User Engagement feature displays the user engagement data such as User Trends, User Volume, etc. For more information, refer to User Engagement.
  • Insights give details related to search queries and results, providing an insight into the usefulness of the search results:
    • Search Insights – It provides a quick overview of various metrics such as top search queries with results and queries without results. For more information, refer to Search Insights.
    • Results Insights – Results Insights provide valuable information on metrics related to the results giving you an understanding of the user expectations such as Appearances, Number of Clicks, Click-through Rate, and Average Position. For more information, refer to Results Insights.
  • Experiments help you in assessing the impact of certain aspects of the index and search configurations. You can create experiments with multiple index and search configurations to evaluate which one is more effective. For more information, refer to Experiments.

Insights & Analytics

The analytics feature of the SearchAssist application provides real-time, interactive, and smart insights about the application’s operational intelligence. Analytics is built with out-of-the-box dashboards that you can use instantly. These dashboards provide analysis to measure the performance of the application.

In SearchAssist, Analytics provides an overview of various metrics as a measurement to compare and track the performance of the application. These metrics can be further categorized as follows:

  • Analytics would include the metrics related to the usage of the search assist application:
    • Dashboard – The dashboard gives an overview of the application. It displays the analytical data based on total users, total searches, result rate, clicks, and average click position. For more information, refer to Dashboard.
    • User Engagement – The User Engagement feature displays the user engagement data such as User Trends, User Volume, etc. For more information, refer to User Engagement.
  • Insights give details related to search queries and results, providing an insight into the usefulness of the search results:
    • Search Insights – It provides a quick overview of various metrics such as top search queries with results and queries without results. For more information, refer to Search Insights.
    • Results Insights – Results Insights provide valuable information on metrics related to the results giving you an understanding of the user expectations such as Appearances, Number of Clicks, Click-through Rate, and Average Position. For more information, refer to Results Insights.
  • Experiments help you in assessing the impact of certain aspects of the index and search configurations. You can create experiments with multiple index and search configurations to evaluate which one is more effective. For more information, refer to Experiments.