📊Tracking: Amazon Kendra

[SomayaB]

Add your +1 👍 to help us prioritize high-level constructs for this service

Overview:

Amazon Kendra is an enterprise search service that enables your users to intuitively search unstructured data using natural language. It returns specific answers to questions, giving users an experience that's close to interacting with a human expert. It is highly available and scalable, tightly integrated with other AWS services, and offers enterprise-grade security.

Amazon Kendra users can ask the following types of questions, or queries:

Factoid questions — Simple who, what, when, or where questions, such as Who is Amazon’s CEO? or What is the height of the Space Needle?. Factoid questions have fact-based answers that can be returned in the form of a single word or phrase. The precise answer, however, must be explicitly stated in the ingested text content.

Descriptive questions — Questions whose answer could be a sentence, passage, or an entire document. For example, How do I connect my Echo Plus to my network? or How do I get tax benefits for lower income families?.

Keyword searches— For questions where the intent and scope isn't clear, for example, vacation policy or health benefits, Amazon Kendra uses its deep learning models to return relevant documents.

AWS Docs

Maturity: CloudFormation Resources Only

See the AWS Construct Library Module Lifecycle doc for more information about maturity levels.

Implementation:

See the CDK API Reference for more implementation details.

Issue list:

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This is a 📊Tracking Issue

[jlosito]

@SomayaB is this supposed to track the implementation of L2 constructs for Kendra? Right now there is none and there is nearly zero on Construct Hub.

[skinny85]

is this supposed to track the implementation of L2 constructs for Kendra?

Yes.