How to enable Quick Suite Agents to reason across 7 independent datasets in a Space?

Q&A
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1

Hi everyone,

I am building an Agent in Amazon Quick Suite to perform cross-table analysis and predictions. I need help overcoming a data integration bottleneck.

The Main Problem: We have 7 independent tables (different schemas) that cannot be logically flattened into a single view. However, current integration patterns (like Athena) seem to expect a single-table output per dataset.

Our priority is getting the Agent to access and “reason” across the complete data in all 7 tables simultaneously without forced flattening.

Questions:

  1. Multi-Dataset Agents: Can a Quick Suite Agent in a Space natively query and correlate data across 7 separate full datasets, or is it restricted to one primary dataset / snippets of data?

  2. Quick Index vs. Athena: Is Quick Index/Athena the recommended way to unify these 7 independent sources for an Agent, or is there any other recommended approach?

We want to maintain our multi-table schema while giving the Agent full visibility. Any advice on the correct Space or Knowledge Base configuration for this would be greatly appreciated.

2

Hi @AlejandroT,
In regards to your questions;

  • Spaces are designed to organize and hold data across multiple data sources, files, dashboards, and other assets. When you attach a space to an Agent, the agent will gain access to all of the available resources within that space as opposed to one primary dataset

- Athena would most likely be your best bet for unifying if that’s the route you’d like to take, or you could create 7 separate datasets from your sources and add those to your space.

Let me know if you have any additional questions!