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What is INTRASEARCH®?

An enterprise search system, commonly known as a company search engine, enables employees to quickly find information from a variety of available sources, such as emails, Office documents, SharePoint, blogs, and more. Users can perform full-text searches, allowing them to enter just one search term to instantly retrieve all pertinent information, regardless of how files are named. As organizations experience a surge in data due to ongoing digitization efforts, the enterprise search software INTRASEARCH® (PDF) empowers teams to efficiently sift through vast amounts of information, freeing them to focus on more important tasks. Additionally, you can select the INTRASEARCH® model that aligns with your specific requirements, with a rental option that ensures you receive an economical solution tailored to your search needs. This flexibility enables small and medium-sized enterprises to find a suitable solution that addresses their unique challenges. Ultimately, INTRASEARCH® not only boosts overall productivity but also streamlines information retrieval, making it an essential tool for any organization aiming to enhance its operational efficiency. Furthermore, the adaptability of the platform ensures that it can grow with the evolving demands of your business.

What is Amazon Kendra?

Amazon Kendra serves as a sophisticated enterprise search solution that emphasizes both accuracy and ease of use, all powered by cutting-edge machine learning technology. This innovative tool significantly improves natural language search capabilities on your websites and applications, enabling users to efficiently find the information they need amid the vast array of content within your organization. Instead of relying solely on basic keywords, users can pose natural language questions, which allows them to receive precise answers, access frequently asked questions, or retrieve entire documents seamlessly. This functionality alleviates the challenges of sifting through lengthy lists of links, where users often feel uncertain if their desired information is present. Furthermore, Kendra effectively breaks down information silos by facilitating the integration of content from diverse sources, including file systems, SharePoint, intranet sites, and file-sharing services, into one cohesive platform for more efficient searching. As users interact with Kendra, the system's results become increasingly refined, thanks to its machine learning algorithms that learn which answers resonate most with users. This ongoing adaptation not only enhances the precision of search results but also creates a more personalized and effective search experience over time. Ultimately, Kendra empowers organizations to provide a more satisfying and productive search journey for their users.

Media

Media

Integrations Supported

AWS AI Services
Amazon Transcribe
Amazon Web Services (AWS)
Microsoft SharePoint

Integrations Supported

AWS AI Services
Amazon Transcribe
Amazon Web Services (AWS)
Microsoft SharePoint

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

$2.50 per hour
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

BINSERV GmbH

Date Founded

1991

Company Location

Germany

Company Website

www.intrasearch.de

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/kendra/

Categories and Features

Enterprise Search

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

Categories and Features

Enterprise Search

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

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