AWS releases Amazon Quick tutorial on querying structured and unstructured data
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AWS released an operations tutorial explaining how to use Amazon Quick to query both structured and unstructured data: connect unstructured documents via an S3 knowledge base, connect structured data via enhanced datasets, and then have a single conversational AI agent decide whether to query the knowledge base, the dataset, or both, and return a merged answer with citations. Users must first create a Space as a unified workspace, then configure a custom chat agent. The tutorial requires the user performing the operations to have an Amazon Quick Enterprise subscription (Enterprise is required to create datasets); the selected S3 bucket has read-only permissions by default; uploaded reference documents can extract at most 100,000 characters of text; Amazon Quick user subscriptions and account fees are billed separately from these resources. Answers follow the permissions of the user asking the question.
AI overview based on source reports · Updated 3 days ago
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- AWS Machine Learning BlogBring structured and unstructured data together with Amazon Quick
This AWS post walks through connecting an Amazon S3 bucket as a knowledge base, enriching a Product_Sales.csv dataset with semantic descriptions, and combining both in a Space that a custom chat agent queries through a single conversational interface. The agent uses text-to-SQL for structured questions, cites sources across both data types, and can generate PowerPoint, Excel, and Word artifacts from chat prompts. It also covers prerequisites, sharing, best practices, security considerations, and cleanup.
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