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Amazon Kendra is an intelligent enterprise search service that helps you search across different content repositories with built-in connectors. Click to enlarge. Use cases. Enhance internal search experiences for employees.
- Resources
How Bloomberg Industry Group invested in smarter search with...
- Pricing
Kendra Enterprise Edition (KEE) provides a high-availability...
- Features
Amazon Kendra is an intelligent search service powered by...
- Connectors
Use the Kendra Salesforce Connector to index documents and...
- FAQs
Amazon Kendra provides ML-powered search capabilities for...
- Amazon Kendra
Amazon Kendra is an intelligent search service that uses...
- Resources
Amazon Kendra is an intelligent search service that uses natural language processing and advanced machine learning algorithms to return specific answers to search questions from your data.
Amazon Kendra is an intelligent search service powered by machine learning (ML). Amazon Kendra reimagines enterprise search for your websites and applications so your employees and customers can find the content they’re looking for, even when it’s scattered across multiple locations and content repositories within your organization.
Amazon Kendra provides ML-powered search capabilities for all unstructured data that you store in AWS. Amazon Kendra offers easy-to-use native connectors to popular AWS repository types such as Amazon S3 and Amazon RDS databases.
Amazon Kendra is a search service, powered by machine learning, that helps users to search unstructured text using natural language. Developer Guide Provides a conceptual overview of Amazon Kendra and detailed instructions for using its various features.
Amazon Kendra provides search functionality to your application. It indexes your documents directly or from your third-party document repository and intelligently serves relevant information to your users. You can use Amazon Kendra to create an updatable index of documents of a variety of types.
11 Μαΐ 2020 · Amazon Kendra reinvents enterprise search across all of an organization’s data silos by using machine learning to provide high-quality results to natural language queries instead of a random list of links in response to keyword searches