Amazon Kendra was first announced at the AWS 2019 re:Invent. According to the company, the enterprise search tool uses machine learning to enable organizations to index all of their internal data sources, make that data searchable, and allow users to get more precise answers to natural language queries.
AWS further states that businesses can use Amazon Kendra to search internal documents spread across portals and wikis, research organizations can create a searchable archive of experiments and notes, and contact centers can use this new search tool to find the right answer to customer questions across the complete library of support documentation.
“Our customers often tell us that search in their organizations is difficult to implement, slows down productivity, and frequently doesn’t work because their data is scattered across many silos in many formats. Using keywords is also counterintuitive, and the results returned often require scanning through many irrelevant links and documents to find useful information,” said Swami Sivasubramanian, Vice President, Amazon Machine Learning, Amazon Web Services, Inc.
“Today, we’re excited to make Amazon Kendra available to our customers and enable them to empower their employees with highly accurate, machine learning-powered enterprise search, which makes it easier for them to find the answers they seek across the full wealth of an organization’s data.”
As announced, Amazon Kendra can be set up completely within the AWS Management Console and the service is currently available in US East (N. Virginia), US West (Oregon), and Europe (Ireland).
Amazon Kendra Enterprise Edition is set to enable its users search up to 500,000 documents, and run up to 40,000 queries per day with scalable offerings while the Developer Edition is limited to 4,000 queries per day, on up to 10,000 searchable documents across 5 data sources with no scaling options.