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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

Amazon Q offers rapid and pertinent responses to urgent inquiries, assists in problem-solving, helps generate content, and facilitates actions by leveraging the data and expertise embedded within your organization's information systems, code, and repositories. Engaging with Amazon Q allows users to receive instant, relevant insights and guidance, thereby enhancing productivity, expediting decision-making processes, and fostering creativity and innovation within the workplace. By integrating with company data and systems through over 40 built-in connectors, Amazon Q can be customized to suit specific business needs. Professionals across various roles—such as marketers, project managers, and sales personnel—can engage in personalized discussions, address challenges, create content, and perform a variety of tasks. Additionally, Amazon Q understands the systems it can access, enabling users to pose intricate, detailed queries and receive customized responses that are restricted to the information they are permitted to view, ultimately enhancing both efficiency and security in the decision-making process.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Amazon Web Services (AWS) Yes 
Microsoft SharePoint Yes 
AWS Chatbot No 
Amazon CodeWhisperer No 
Amazon Connect No 
Amazon DynamoDB No 
Amazon FSx No 
Amazon QuickSight No 
Amazon Transcribe Yes 
Amazon WorkDocs No 
C No 
C++ No 
Dock No 
Dropbox No 
Go No 
PostgreSQL No 
Python No 
SQL Server No 
ServiceNow No 
Slack No 

Integrations

Amazon Web Services (AWS) Yes 
Microsoft SharePoint Yes 
AWS Chatbot Yes 
Amazon CodeWhisperer Yes 
Amazon Connect Yes 
Amazon DynamoDB Yes 
Amazon FSx Yes 
Amazon QuickSight Yes 
Amazon Transcribe No 
Amazon WorkDocs Yes 
C Yes 
C++ Yes 
Dock Yes 
Dropbox Yes 
Go Yes 
PostgreSQL Yes 
Python Yes 
SQL Server Yes 
ServiceNow Yes 
Slack 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

$20 per user per month
Amazon Q Business: $20 per user per month

Amazon Q Builder: $25 per user per month

Amazon Q Builder:

Is an expert in AWS
Provides crisp guidance on AWS capabilities, services, and solutions
Assists with debugging, testing, and optimizing your code
Helps you optimize and troubleshoot applications
Helps developers get up to speed on unfamiliar code
Accelerates feature development
Upgrades your code
Turns your natural language instructions into SQL queries
Available wherever you work
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 Yes 
Mac Yes 
Linux Yes 
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

Amazon

Founded

1994

Country

United States

Website

aws.amazon.com/q/

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

Chatbot

Call to Action No 
Context and Coherence No 
Human Takeover No 
Inline Media / Videos No 
Machine Learning No 
Natural Language Processing No 
Payment Integration No 
Prediction No 
Ready-made Templates No 
Reporting / Analytics No 
Sentiment Analysis No 
Social Media Integration No 

Conversational AI

Code-free Development No 
Contextual Guidance No 
For Developers No 
Intent Recognition No 
Multi-Languages No 
Omni-Channel No 
On-Screen Chats No 
Pre-configured Bot No 
Reusable Components No 
Sentiment Analysis No 
Speech Recognition No 
Speech Synthesis No 
Virtual Assistant No 

Alternatives

Alternatives