Average Ratings 0 Ratings
Average Ratings 0 Ratings
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
Designed to cater to the intricate requirements of B2B enterprises, Big Zeta Keyword Search is user-friendly in both deployment and maintenance, providing advanced management and analytical reporting for your search initiatives. Eliminate the concerns over unreliable search outcomes or sluggish user experiences, as our state-of-the-art technology ensures consistent performance. It's time to elevate the importance of site search in your strategy. With our innovative features and comprehensive analytics platform, you can seamlessly integrate keyword search into your overarching digital approach. Big Zeta Keyword Search enhances the speed at which your customers locate information by delivering accurate context through various data sources, alongside a straightforward interface that guarantees timely and relevant results. Optimize Big Zeta Keyword Search by utilizing a site crawl or integrating with your content and product management systems. Additionally, benefit from automatic updates to ensure that your results remain current and reflective of the latest information available. This commitment to accuracy ensures that your website consistently provides the most relevant and timely search results to users.
API Access
Has API
Yes
API Access
Has API
No
Integrations
AWS AI Services
Yes
Amazon Transcribe
Yes
Amazon Web Services (AWS)
Yes
BA Insight
Yes
Microsoft SharePoint
Yes
iCloud
No
Integrations
AWS AI Services
No
Amazon Transcribe
No
Amazon Web Services (AWS)
No
BA Insight
No
Microsoft SharePoint
No
iCloud
Yes
Pricing Details
$2.50 per hour
You can get started for free with the Amazon Kendra Developer Edition that provides free usage of up to 750 hours for the first 30 days.
Free Trial
Yes
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
Vendor Details
Company Name
Amazon
Founded
1994
Country
United States
Website
aws.amazon.com/kendra/
Vendor Details
Company Name
Big Zeta
Founded
2016
Country
United States
Website
bigzeta.com/keyword-search/
Product Features
Enterprise Search
AI / Machine Learning
Yes
Faceted Search / Filtering
Yes
Full Text Search
Yes
Fuzzy Search
Yes
Indexing
Yes
Text Analytics
Yes
eDiscovery
Yes