Amazon Quick offers a unified experience for analyzing structured and unstructured data together, according to the post. Structured data lives in databases and spreadsheets, while unstructured data sits in documents, reports, and files across file systems; analyzing both together typically requires switching between multiple tools, running separate queries, and manually correlating results. With Amazon Quick, users can connect structured data through enriched datasets and unstructured data through S3-backed knowledge bases, then query both through a single conversational AI agent. The post explains how to connect Amazon Simple Storage Service (Amazon S3) as a data source and create a knowledge base, build a Space that combines structured and unstructured data, create and configure a custom chat agent that queries across both data types, and ask questions spanning both sources in a single conversation. The architecture has three layers: a data layer where unstructured content is stored in Amazon S3 and indexed through a knowledge base while structured data is loaded as enriched datasets with semantic descriptions the agent uses to translate questions into SQL; a workspace layer where a Space brings both data types together and can include dashboards, file uploads, and action connectors; and an agent layer where the custom chat agent links to the Space and determines whether to query the knowledge base, the dataset, or both, returning a combined response with citations. Amazon Quick also applies built-in AI guardrails such as content safety screening, and responses respect the permissions of the user who asks. Prerequisites include an Amazon Quick account with an Enterprise subscription for the user following