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You can visualize the indexed metadata using OpenSearch Dashboards. This post uses the Amazon Textract IDP CDK constructs (AWS CDK components to define infrastructure for intelligent document processing (IDP) workflows), which allows you to build use case-specific, customizable IDP workflows.
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.
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.
With Amazon SageMaker Catalog , teams can collaborate through projects, discover, and access approved data and models using semantic search with generative AI-created metadata, or you can use natural language to ask Amazon Q to find your data. The table metadata is managed by Data Catalog.
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