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. Receive highly accurate answers with an easy-to-use retrieval augmented generation or enterprise search service powered by Machine Learning (ML).
What is Amazon Kendra GenAI Index?
Amazon Kendra GenAI Index is a new index in Kendra designed for retrieval-augmented generation (RAG) and intelligent search to help enterprises build digital assistants and intelligent search experiences more efficiently and effectively. This index offers high retrieval accuracy, leveraging advanced semantic models and the latest information retrieval technologies. It can be integrated with Bedrock Knowledge Bases and other Bedrock tools to create RAG-powered digital assistants, or used with Q Business for a fully managed digital assistant solution. Kendra GenAI Index addresses common challenges in building retrievers for GenAI assistants, including data ingestion, model selection, and integration with various GenAI tools. Its features include a managed retriever with high semantic accuracy, a hybrid index combining vector and keyword search, pre-optimized parameters, connectors to a variety of enterprise data sources, and metadata-based user permissions filtering.
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.
Why Amazon Kendra
25%
increase in employee productivity82%
lower 5-year Total Cost of Ownership (TCO) versus a traditional Enterprise Search Tool75%
lower Total Cost of Ownership (TCO) in year one versus a traditional Enterprise Search Tool80%
reduction in development costsUse cases
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.