Amazon Kendra

Find answers faster with intelligent enterprise search powered by machine learning

What is Amazon Kendra?

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.

Get started with generative AI and Amazon Kendra

You can 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.
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.

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

Use cases

Enhance employee productivity by providing accurate answers by augmenting Kendra with generative AI or unlock the insights employees need to make data-driven business decisions through intelligent search.

Learn more about intelligent search

Reduce contact center costs with intuitive self-service bots that help customers find accurate answers, agent-assist solutions, that agents find answers to customer questions accurately and quickly, and frictionless access to answers or documents.

Learn how to improve customer interactions

Use Kendra APIs as a part of a RAG based solution to integrate intelligent chatbots into customer-facing Saas platforms and websites or find information faster with ML-powered in-app searches.

Learn more about integrating search into SaaS applications

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.