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

SearchAssist Overview

SearchAssist is the world’s first conversational search engine. We combine natural language understanding with intelligent virtual assistant actions to give your users a contextualized search experience that is proactive and personalized. The result is a better search experience for users and measurable progress towards your business goals.

Creating a contextualized search experience begins on the SearchAssist dashboard. With an intuitive graphical interface, you can easily customize search parameters, design end-user search experiences, and weight priorities so that your users see the most relevant results. When you are ready for next-generation virtual assistant capabilities, quickly integrate Kore.ai’s Experience Optimization (XO) platform into your website with just a few clicks. SearchAssist collates and indexes content from a diverse range of sources and then fetches results with industry-leading speed and accuracy.

Most e-commerce and enterprise websites or apps are built with traditional search queries that rely solely on keyword criteria. Going beyond keywords, SearchAssist includes natural language or utterances and discovers user intent. The result is superior search relevance and a more fulfilling search journey.

How SearchAssist Works

SearchAssist is a conversational AI-powered search solution capable of providing users with instant search results across your website, mobile devices, and other applications. Unlike traditional search tools that scan a single index for keywords or phrases, SearchAssist builds a network of interlinked indices that map content from multiple sources. After the user launches a search, our app displays highly relevant results based on user context and a customizable weighting tool. The first step to building a powerful search application is to ingest data into SearchAssist by following our guided workflow.

The guided workflow has eight key steps.

  1. Create a SearchAssist app
  2. Add and Manage Sources
  3. Index Content
  4. Manage Relevance
  5. Design the Search Experience
  6. Get Analytics and Insights
  7. Define Experiments
  8. Deploy SearchAssist Apps

SearchAssist Overview

SearchAssist is the world’s first conversational search engine. We combine natural language understanding with intelligent virtual assistant actions to give your users a contextualized search experience that is proactive and personalized. The result is a better search experience for users and measurable progress towards your business goals.

Creating a contextualized search experience begins on the SearchAssist dashboard. With an intuitive graphical interface, you can easily customize search parameters, design end-user search experiences, and weight priorities so that your users see the most relevant results. When you are ready for next-generation virtual assistant capabilities, quickly integrate Kore.ai’s Experience Optimization (XO) platform into your website with just a few clicks. SearchAssist collates and indexes content from a diverse range of sources and then fetches results with industry-leading speed and accuracy.

Most e-commerce and enterprise websites or apps are built with traditional search queries that rely solely on keyword criteria. Going beyond keywords, SearchAssist includes natural language or utterances and discovers user intent. The result is superior search relevance and a more fulfilling search journey.

How SearchAssist Works

SearchAssist is a conversational AI-powered search solution capable of providing users with instant search results across your website, mobile devices, and other applications. Unlike traditional search tools that scan a single index for keywords or phrases, SearchAssist builds a network of interlinked indices that map content from multiple sources. After the user launches a search, our app displays highly relevant results based on user context and a customizable weighting tool. The first step to building a powerful search application is to ingest data into SearchAssist by following our guided workflow.

The guided workflow has eight key steps.

  1. Create a SearchAssist app
  2. Add and Manage Sources
  3. Index Content
  4. Manage Relevance
  5. Design the Search Experience
  6. Get Analytics and Insights
  7. Define Experiments
  8. Deploy SearchAssist Apps