GETTING STARTED
SearchAssist Overview
SearchAssist Introduction
Onboarding SearchAssist
Build your first App
Glossary
Release Notes
Current Version
Recent Updates
Previous Versions

CONCEPTS
Managing Sources
Introduction
Files
Web Pages
FAQs
Structured Data 
Connectors
Introduction to Connectors
SharePoint Connector
Confluence Connector
Zendesk Connector
ServiceNow Connector
Salesforce Connector
Azure Storage Connector
Google Drive Connector
Dropbox Connector
Oracle Knowledge Connector
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
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
Collaboration
Integrations
OpenAI Integration
Azure OpenAI Integration
Billing and Usage
Plan Details
Usage Logs
Order and Invoices

SearchAssist PUBLIC 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

Search Insights

This section provides insights on the search queries run by the end users. You can use these metrics to understand and improve the end-user search experience. For example, if a search query is run many times but did not return any results, then it can indicate that either the appropriate content is missing or the application needs fine-tuning to return relevant results. A sizable number of no results for a query is a significant insight that points to an area requiring attention.

This page displays the following metrics. 

Metrics Description
Queries with Results Most frequently asked queries that returned at least one result. For each query, it shows

Count – the number of times the search query was run

Clicks – the number of times at least one of the results from the query was clicked.

Positive feedback – feedback received when the user was able to find relevant results for the query. 

Negative feedback – feedback received when the user was unable to find relevant results for the query. 

Queries without Results Most frequently asked queries that returned no result along with the number of times that the query was asked. More details are shown for the queries when the user clicks on the view results for the query.

Search Insights

This section provides insights on the search queries run by the end users. You can use these metrics to understand and improve the end-user search experience. For example, if a search query is run many times but did not return any results, then it can indicate that either the appropriate content is missing or the application needs fine-tuning to return relevant results. A sizable number of no results for a query is a significant insight that points to an area requiring attention.

This page displays the following metrics. 

Metrics Description
Queries with Results Most frequently asked queries that returned at least one result. For each query, it shows

Count – the number of times the search query was run

Clicks – the number of times at least one of the results from the query was clicked.

Positive feedback – feedback received when the user was able to find relevant results for the query. 

Negative feedback – feedback received when the user was unable to find relevant results for the query. 

Queries without Results Most frequently asked queries that returned no result along with the number of times that the query was asked. More details are shown for the queries when the user clicks on the view results for the query.