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Bring structured and unstructured data together with Amazon Quick

Machine Learning Blog



This article demonstrates how to use Amazon Quick to combine structured and unstructured data through a unified conversational AI agent that queries both S3 knowledge bases and enriched datasets.

  • Connect Amazon S3 as a data source and create a knowledge base for unstructured documents
  • Create and enrich datasets with semantic descriptions to enable natural language to SQL translation
  • Build a Space that serves as a unified workspace combining both data types
  • Configure a custom chat agent with defined persona and linked knowledge sources
  • Query across structured and unstructured data in a single conversation with source citations
  • Generate formatted artifacts like PowerPoint presentations from chat prompts
  • Share agents with teams while maintaining permissions-aware access control

Amazon Quick enables business users to analyze both data types through a single conversational interface without knowing where data lives or how to write queries.



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