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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.
- Querying Amazon Kendra
- Benefits of Amazon Kendra
- Amazon Kendra editions
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- Are You A First-Time Amazon Kendra user?
You can ask Amazon Kendra the following types of queries: Factoid questions—Simple who, what, when, or where questions, such as Where is the nearest service center to Seattle?Factoid questions have fact-based answers that can be returned as a single word or phrase. The answer is retrieved from a FAQ or from your indexed documents. Descriptive quest...
Amazon Kendra is highly scalable, capable of meeting performance demands, is tightly integrated with other AWS services such as Amazon S3 and Amazon Lex, and offers enterprise-grade security. Some of the benefits of using Amazon Kendra include: Simplicity—Amazon Kendra provides a console and API for managing the documents that you want to search. Y...
Amazon Kendra has two versions: Developer Edition and Enterprise Edition. The following table outlines their features and the differences between the two.
You can get started for free with the Amazon Kendra Developer Edition that provides usage of up to 750 hours for the first 30 days. After your trial expires, you are charged for all provisioned Amazon Kendra indexes, even if they are empty and no queries are run. After the trial expires, there are additional charges for scanning and syncing documen...
If you are a first-time user of Amazon Kendra, we recommend that you read the following sections in order:
Kendra Leigh Wilkinson (formerly Baskett; born June 12, 1985) is an American television personality and real estate agent. She first gained recognition as one of Hugh Hefner 's girlfriends and for her role on the E! reality television series The Girls Next Door (2005–2009), on which her life in the Playboy Mansion was documented.
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.
People also ask
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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.
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