World’s First Conversational Search Platform
Empowering citizen developers to build and deliver extraordinary search experiences with a no-code platform.
AI-Powered Modern Search
Experience that simplifies everything for developers and users!
Empowering business users and citizen developers to build an amazing search experience for end users. Built on a strong AI-first foundation, SearchAssist provides you with an intuitive and easy-to-use interface to customize search experiences for websites, workplaces, e-commerce, and support & services. Provide personalized and contextual search results using powerful AI and natural language understanding capabilities.
Data Indexing
Data Extraction and Indexing
from structured and unstructured data sources
SearchAssist extracts and intelligently indexes the data from structured and unstructured sources like webpages, documents, product catalogs, videos, and images. You can configure a crawler to extract data or allow users to input structured data. It can extract data on demand or at a defined frequency, classify and cluster documents.
The Index Management module uses a business-friendly, no-code index workbench to enrich the ingested data. Through workbench, we extract the traits, semantic understanding, and NLP features. These additional features are stored along with the search index for better search relevance.
Query Management defines how a search should happen against the Index. We can configure Business Rules and Tune the Relevance to provide a personalized search experience to the end-user.
Multiple Indices can be created to that we can maintain the index versions and run A/B Test experiments.
Using pre-trained models or the ability to learn based on new ML models, SearchAssist allows intelligent extraction of FAQs from documents like PDF. This capability to detect document content structure and extract is a rarity in the market today.
SearchAssist provides an easy to use annotation tool to import/extract FAQs from existing documents like PDFs, spreadsheets or word docs.
An accompanied Annotation Summary and classification of annotations helps you see the overall extraction result.
A majority of search queries can be answered using simple FAQs.
SearchAssist FAQ engine supports multiple sources of extraction like webpages and structured import. FAQs in SearchAssist have a role-based review workflow. Conditional Answers and Rich Content Answer templates can be configured with FAQs.
NLP & Knowledge
Multi-engine NLP and Intelligence
SearchAssist is powered by Kore.ai’s multi-engine NLP that understands contexts and sentiments and adapts to users’ needs. Just like humans would do, it asks follow-up questions to better understand user needs or guide users further.
Content Sources
Enrich Search Data
by feeding data from all sources
SearchAssist allows you to ingest data from all kinds of structured and unstructured data sources like webpages, files, documents, product catalogs, FAQs, and more. It extracts data from varied sources and indexes the relevant data to make the content search-ready.
Connectors
Prebuilt Connectors
work with just about anything
SearchAssist comes with prebuilt connectors for website crawlers, eCommerce portals, workplace enterprise systems, and customer support systems. It provides a full suite of APIs making it easier for building new connectors to any internal or external systems.
Enterprise
Enterprise-Grade Features
for flexible & reliable deployment
Built-in capabilities like development lifecycle management, multi-user collaboration, versioning, and maker-checker processes make it an ideal choice for enterprises. Its enterprise-grade security, scalability, and extensibility make it reliable for enterprise deployment.
SearchAssist offers –
- Flexible cloud and on-prem deployment
- Scalable architecture with high availability
- Roles management and access control
- APIs and SDKs
Deployment
Easy to Configure, Deploy, Manage
for both enterprise as well as SMBs
SearchAssist is developed keeping enterprise as well as SMB users in mind. Powered by Kore.ai Experience Optimization Platform, SearchAssist brings powerful AI capabilities while keeping it simple and easy to configure, deploy and manage.
Configuration
Customize Search Experience
through an intuitive workbench
SearchAssist lets you configure pretty much everything about your end users’ search experience. Right from how your search interface should appear on screen, its position and style, interactions at the search interface, the way results are presented, and much more.
Analytics
Deep Insights
to monitor business KPIs
Search queries provide information about what your customers are looking for and how they are engaging. SearchAssist’s AI-powered analytics engine presents dashboards and insights into the ways users are interacting with your search experience. These insights help you make necessary changes to serve your search users better.
Analytics includes the metrics related to the usage of the SearchAssist application
- Dashboards – It provides SearchAssist application usage overview with analytical data of total users, total searches, result rate, user clicks, and average click position.
- User Engagement – The User Engagement feature displays the user engagement data such as User Trends, User Volume, etc.
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.
- 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.
Experiments are the best way to test multiple index and search configuration combinations and pick the best one that fulfills your business needs. SearchAssist allows you to create experiments with two or more variants to continuously improve search relevance and user experience.
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.
Kore.ai Named a Leader in 2023 Gartner® Magic Quadrant™ for Enterprise Conversational Al Platforms
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