Artificial Intelligence1 min read

Bring structured and unstructured data together with Amazon Quick

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In short

The architecture relies on three tiers that organize unstructured documents from Amazon Simple Storage Service alongside relational tables using semantic SQL translations. Within the workspace layer, a centralized feature known as a Space brings dashboards, connectors, and knowledge bases into a singular operational context. An autonomous chat agent then interrogates either or both sources depending on user prompts. Implementing the workflow necessitates an Enterprise tier subscription and colocated storage within the same AWS Region.

Key points

  • Deploying the platform requires an Amazon Quick Enterprise subscription and administrativ…: Deploying the platform requires an Amazon Quick Enterprise subscription and administrative setup privileges.
  • Connected Amazon Simple Storage Service buckets must be located in the identical AWS Regi…: Connected Amazon Simple Storage Service buckets must be located in the identical AWS Region as the primary platform.
  • Users can replace separate database and document query tools with a single conversational…: Users can replace separate database and document query tools with a single conversational artificial intelligence assistant.

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Artificial Intelligence

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.

The architecture has three layers:

- Data layer: Your data exists in two…

Artificial Intelligence