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Building AI chatbots using Amazon Lex and Amazon Kendra for filtering query results based on user context

AWS Machine Learning Blog

Solution overview To solve this problem, you can identify one or more unique metadata information that is associated with the documents being indexed and searched. In Amazon Kendra, you provide document metadata attributes using custom attributes.

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Discover insights from Box with the Amazon Q Box connector

AWS Machine Learning Blog

A document is a collection of information that consists of a title, the content (or the body), metadata (data about the document), and access control list (ACL) information to make sure answers are provided from documents that the user has access to. Amazon Q supports the crawling and indexing of these custom objects and custom metadata.

Metadata 114
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Dialogue-guided intelligent document processing with foundation models on Amazon SageMaker JumpStart

AWS Machine Learning Blog

Intelligent document processing (IDP) is a technology that automates the processing of high volumes of unstructured data, including text, images, and videos. Natural language processing (NLP) is one of the recent developments in IDP that has improved accuracy and user experience.

IDP 87