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
SharePoint Connector
Confluence Cloud Connector
Confluence Server Connector
Zendesk Connector
ServiceNow Connector
Salesforce Connector
Azure Storage Connector
Google Drive Connector
Dropbox Connector
Oracle Knowledge Connector
DotCMS 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

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

Source Management

Data forms an integral part of any search. It also plays an important role to understand customers’ needs and achieve customer satisfaction. Businesses obtain or import data from different sources and validate it, before presenting it to the customer or the end-user.

In SearchAssist, Adding Data allows you to fetch data from various sources and ingest it into the application. It helps you to evaluate the search users’ requirements and provide better services. For example, a bank that uses the SearchAssist application needs to cater to user queries related to products, services, and general inquiries. This data might exist in multiple locations, with different departments being the owners. To assist search users with their queries, business users need to fetch the data from these various sources and ingest it into the application thus serving a solution for those queries in one place.

Sources

Sources refer to web pages or files from which the information needs to be obtained by the SearchAssist application. SearchAssist extracts data from varied sources like enterprise records to web pages and indexes the relevant items to make the content search-ready. 

The Source page allows you to add and manage sources. You can add and manage sources through:

  • Content – Content refers to the data obtained from external sources through web crawling or file uploads. The SearchAssist application parses this content and adds to the search index. For more information, refer to Content.
  • FAQs – The Frequently Asked Questions (FAQs) are a list of common questions that your customers ask about your products or services. For more information, refer to FAQs.
  • Bot Actions – Bot Actions are a list of tasks that are performed by the linked virtual assistant. For more information, refer to Bot Actions.
  • Structured Data – Structured data is an object, a set of key-value pairs from sources like databases, connectors. These can be extracted and formatted as JSON or CSV structure and ingested into SearchAssist. For more information, refer to Structured Data.

On this Page

Source Management

Data forms an integral part of any search. It also plays an important role to understand customers’ needs and achieve customer satisfaction. Businesses obtain or import data from different sources and validate it, before presenting it to the customer or the end-user.

In SearchAssist, Adding Data allows you to fetch data from various sources and ingest it into the application. It helps you to evaluate the search users’ requirements and provide better services. For example, a bank that uses the SearchAssist application needs to cater to user queries related to products, services, and general inquiries. This data might exist in multiple locations, with different departments being the owners. To assist search users with their queries, business users need to fetch the data from these various sources and ingest it into the application thus serving a solution for those queries in one place.

Sources

Sources refer to web pages or files from which the information needs to be obtained by the SearchAssist application. SearchAssist extracts data from varied sources like enterprise records to web pages and indexes the relevant items to make the content search-ready. 

The Source page allows you to add and manage sources. You can add and manage sources through:

  • Content – Content refers to the data obtained from external sources through web crawling or file uploads. The SearchAssist application parses this content and adds to the search index. For more information, refer to Content.
  • FAQs – The Frequently Asked Questions (FAQs) are a list of common questions that your customers ask about your products or services. For more information, refer to FAQs.
  • Bot Actions – Bot Actions are a list of tasks that are performed by the linked virtual assistant. For more information, refer to Bot Actions.
  • Structured Data – Structured data is an object, a set of key-value pairs from sources like databases, connectors. These can be extracted and formatted as JSON or CSV structure and ingested into SearchAssist. For more information, refer to Structured Data.