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
Locate the previous case and understand the reasons behind it. This process of finding the earlier case could consume your entire afternoon. Using Word and Ctrl+F might yield numerous keyword matches within a vast report archive, often exceeding a hundred results. HangerSearch is specifically designed for engineering support teams to efficiently search technical reports: it presents the 4-5 relevant prior cases along with the terms associated with each result, ensuring you maintain control over the search process. If you happen to overlook a shop term, you have the option to incorporate it yourself. This tool is focused solely on retrieval—you are responsible for drafting the confirmation. Unlike other AIs that make assumptions, HangerSearch provides clear results. It can be accessed via cloud or self-hosted options. In terms of pricing, there is a complimentary magic-link tier, while the Pilot plan is available for $49, offering 500 credits, and the Pro plan starts at $149 per month; both options accommodate either cloud or self-hosting preferences. With HangerSearch, you can navigate your report archives with confidence and precision.
API Access
Has API
Yes
API Access
Has API
No
Screenshots View All
No images available
Integrations
AWS AI Services
Yes
Amazon Transcribe
Yes
Amazon Web Services (AWS)
Yes
BA Insight
Yes
Microsoft SharePoint
Yes
Integrations
AWS AI Services
No
Amazon Transcribe
No
Amazon Web Services (AWS)
No
BA Insight
No
Microsoft SharePoint
No
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
$49 for 500 credits (Pilot); P
Free Trial
No
Free Version
Yes
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
Yes
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)
No
In Person
No
Vendor Details
Company Name
Amazon
Founded
1994
Country
United States
Website
aws.amazon.com/kendra/
Vendor Details
Company Name
HangerSearch
Website
hangersearch.com
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
Product Features
Enterprise Search
AI / Machine Learning
No
Faceted Search / Filtering
No
Full Text Search
No
Fuzzy Search
No
Indexing
No
Text Analytics
No
eDiscovery
No