# Amazon — Bring structured and unstructured data together with Amazon Quick

- Company: Amazon (amazon.com)
- Announced: 2026-11-03T16:49:29+00:00
- Category: not stated
- Coverage: not counted
- Announcement: no
- Group: routine
- Source: https://aws.amazon.com/blogs/machine-learning/bring-structured-and-unstructured-data-together-with-amazon-quick/
- Record: https://forck.live/items/31103-bring-structured-and-unstructured-data-together-with-amazon-quick
- Subject: Bedrock / Nova

Amazon's walkthrough shows how to combine structured and unstructured data in Amazon Quick so a single conversational agent can answer questions across both. Organizations typically collect structured data in databases and spreadsheets and unstructured data in documents and files, and analyzing both together usually means switching tools, running separate queries and correlating results by hand. The guide connects an Amazon S3 bucket as a data source, indexes its documents through a knowledge base, and loads structured data as enriched datasets with semantic descriptions the agent uses to translate questions into SQL. A Space then brings both types together as one workspace, referencing the knowledge base and the datasets and optionally holding dashboards, file uploads and action connectors. A custom chat agent linked to that Space decides whether to query the knowledge base, the dataset or both, and returns a combined response with citations. Amazon Quick applies built-in AI guardrails such as content safety screening to chat interactions, and responses respect the permissions of the user who asks. Following the walkthrough requires an Amazon Quick account with an Enterprise subscription, since creating datasets requires Enterprise, plus administrator-granted read-only access to an S3 bucket.

## Evidence

Verbatim from https://aws.amazon.com/blogs/machine-learning/bring-structured-and-unstructured-data-together-with-amazon-quick/:

> Organizations collect data in many forms. Structured data lives in databases and spreadsheets, whereas unstructured data sits in documents, reports, and files stored across file systems. Analyzing both together typically requires switching between multiple tools, running separate queries, and manually correlating results.
> 
> Amazon Quick addresses this with a unified experience. You can connect structured data through enriched datasets and unstructured data through S3-backed knowledge bases . You can then query both through a single conversational AI agent.
> 
> In this post, you learn 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.
> 
> Ask questions that span structured and unstructured sources in a single conversation.
> 
> Solution architecture
> 
> The following diagram illustrates how each component connects to deliver a unified data experience through Amazon Quick.
> 
> Figure 1: Solution architecture for combining structured and unstructured data in Amazon Quick
> 
> The architecture has three layers:

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