Amazon Kendra

Find answers faster with intelligent enterprise search powered by machine learning

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Up to 750 hours of free usage for 30 days

Quickly implement a unified search experience across multiple structured and unstructured content repositories.

Use natural language processing (NLP) to get highly accurate answers without the need for machine learning (ML) expertise.

Fine-tune your search results based on content attributes, freshness, user behavior, and more.

Deliver ML-powered instant answers, FAQs, and document ranking as a fully managed service.

Get started with generative AI and Amazon Kendra

You can now use Amazon Kendra with Large Language Models (LLMs) to quickly create secure, generative AI-powered conversational experiences for your users on top of your enterprise content. To learn how to get started, click here >>

Why Amazon Kendra

25%

increase in employee productivity

82%

lower 5-year Total Cost of Ownership (TCO) versus a traditional Enterprise Search Tool

75%

lower Total Cost of Ownership (TCO) in year one versus a traditional Enterprise Search Tool

80%

reduction in development costs

Read the full study | Analyzing the Economic Benefits of Intelligent Search using Amazon Kendra

How it works

Amazon Kendra is an intelligent enterprise search service that helps you search across different content repositories with built-in connectors.

Diagram showing how Amazon Kendra ingests data from data sources to improve search accuracy, customer experiences, and employee productivity.

What is Intelligent Search? (2:57)

In this video, we compare Amazon Kendra, an intelligent enterprise search service, to traditional search solutions. We outline how Amazon Kendra's ML models, accuracy, and ease of use make it easier for customers and employees to find the information they need when they need it.

Use cases

Enhance internal search experiences for employees

Improve employee productivity and unlock the insights employees need to make data-driven business decisions through a single search interface.

Learn more about intelligent search »

Improve customer interactions

Reduce contact center costs with intuitive self-service bots, agent-assist solutions, and frictionless document access.

Learn how to improve customer interactions »

Integrate search into SaaS applications

Helps you find information faster with ML-powered in-app searches.

Learn more about integrating search into SaaS applications »

Customers

Gilead accelerates development of enterprise search tool using ML »

Magellan Rx Management reduces call time by 9–15 seconds »

The Wall Street Journal empowers readers with Talk2020 tool »

Integrations

Amazon Kendra Intelligent Ranking for self-managed OpenSearch

With the Amazon Kendra Intelligent Ranking plugin for OpenSearch, developers can use the Amazon Kendra ML-powered semantic ranking technology to quickly improve the quality of their OpenSearch search results, with no ML expertise necessary. The plugin is designed to work best on document search applications, such as help pages, documentation, informational websites, and internal wikis.

Learn more about how to get started with Intelligent Ranking in the documentation.

Engage360: Intelligent Search for Salesforce CRM, powered by Amazon Kendra

Engage360, built by Persistent Systems Ltd. and powered by Amazon Kendra, is an app on Salesforce AppExchange that helps you provide ML-powered search and recommendations right inside Salesforce Sales Cloud, Salesforce Service Cloud, and Salesforce Financial Services Cloud. The app provides contextual answers and FAQ matching embedded inside the workflows of sales users and contact center agents, helping to boost their productivity and engagement.

How to get started

Get started with Amazon Kendra

Learn how the Amazon Kendra intelligent search service can help your organization.

Explore Amazon Kendra »

Get started with a free account

Try Amazon Kendra for 750 hours for the first 30 days.

Contact sales support

Chat live with a sales representative to learn more.

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