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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Amazon Kendra is an exceptionally precise and user-friendly enterprise search solution driven by machine learning technology. It provides robust natural language search functionalities for your websites and applications, allowing users to effortlessly locate the information they require amidst the extensive content available within your organization. By utilizing natural language inquiries rather than merely basic keywords, you can obtain the information you seek, whether it be specific answers, frequently asked questions, or complete documents. This eliminates the frustration of navigating through lengthy lists of links in hopes of finding relevant information. Say farewell to information silos, as Kendra enables seamless integration of content from various sources such as file systems, SharePoint, intranet sites, and file sharing services into a unified location, facilitating swift searches for optimal answers. Over time, the accuracy of your search results improves, thanks to Kendra's machine learning algorithms, which adapt to understand and prioritize the most valuable results for your users. This continual enhancement ensures that users consistently receive the most relevant and useful information with every search query they perform.

Description

Integrating a search solution for your organization can significantly enhance employee efficiency. Interestingly, Copernic’s Business Server Search offers a streamlined way to implement an advanced search capability that is both highly functional and cost-effective compared to other, more intricate search solutions. This means your IT department won’t face the burden of lengthy installation and setup processes. All that is required is to download the installation file for Windows and set up your desired file sources. You can create tailored indexes for specific teams and departments while ensuring that sensitive information and permissions are respected. Should you have any inquiries, the Copernic team is readily available to assist you. With Copernic’s sophisticated keyword mapping system, employees are empowered to uncover a variety of business-related information that may be hidden across shared servers, including text documents, multimedia files, emails, and cloud-based data. By leveraging this tool, organizations can optimize their information retrieval processes and foster a more productive work environment.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

AWS AI Services
Adobe Photoshop
Amazon Transcribe
Amazon Web Services (AWS)
AutoCAD
BA Insight
Enrich CRM
Microsoft 365
Microsoft Outlook
Microsoft SharePoint
Microsoft Visio

Integrations

AWS AI Services
Adobe Photoshop
Amazon Transcribe
Amazon Web Services (AWS)
AutoCAD
BA Insight
Enrich CRM
Microsoft 365
Microsoft Outlook
Microsoft SharePoint
Microsoft Visio

Pricing Details

$2.50 per hour
Free Trial
Free Version

Pricing Details

$600 per year
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Amazon

Founded

1994

Country

United States

Website

aws.amazon.com/kendra/

Vendor Details

Company Name

Copernic Technologies

Founded

1996

Country

Canada

Website

copernic.com/en/server/

Product Features

Enterprise Search

AI / Machine Learning
Faceted Search / Filtering
Full Text Search
Fuzzy Search
Indexing
Text Analytics
eDiscovery

Product Features

Enterprise Search

AI / Machine Learning
Faceted Search / Filtering
Full Text Search
Fuzzy Search
Indexing
Text Analytics
eDiscovery

Alternatives

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