Teach Querio about your data

Querio gets better when you teach it how your data and business work.

The Context area is where this knowledge lives. It uses a file-backed workspace where context is easy to inspect, edit, and organize.

What context is for

Context helps Querio understand:

• What tables and columns mean
• How tables join together
• Which metrics matter
• How your team defines business terms
• What reusable logic or skills the agent should follow

Main types of context

The Context tab is organized into four main sections:

• Datasources: Contains context tied to specific databases. For each database, you'll find:
  • Catalog: Your tables and schema structure.
  • Components: Executable files (like .py scripts or logic blocks) that define metrics, rules, and business logic tied to this data.
• Memory: Stores durable workspace-level notes (like MEMORY.md) that Querio can reference across all conversations.
• Extensions: Custom plugins and integrations that expand Querio's capabilities.
• Skills: Reusable instructions (e.g., compare-periods, data-dictionary) that teach Querio exactly how to perform specific, repeatable tasks.

The goal is to make Querio less dependent on one-off request detail and more aware of the way your team actually works.