The Context Layer components build on each other. Following this order ensures each step has the inputs it needs and avoids rework.Documentation Index
Fetch the complete documentation index at: https://docs.clarityq.ai/llms.txt
Use this file to discover all available pages before exploring further.
The Order
Connect Your Data Warehouse
Everything starts here. Connect your warehouse so ClarityQ can access your data. Configure mandatory filters if needed.
Review the Table Catalog
After connecting, ClarityQ automatically discovers your tables and columns. Review the results, enrich descriptions, and build entities from your key tables. Daily discovery jobs will keep the catalog up to date as your schema evolves.
Set Up the Event Catalog
If your product tracks events, set up the Event Catalog. Run the Missing Description Wizard to fill in gaps, then sync events to the Semantic Catalog so they become queryable.
Build the Semantic Catalog
Define your core business logic — dimensions, metrics, features, and segments. Start with the components your team asks about most. ClarityQ’s AI agent actively helps build these using your existing definitions and data structure.
Add Memory
Store business rules, naming conventions, and domain context that doesn’t live in your database. Start with personal memory for the conventions you find yourself repeating, and add product memory as it rolls out.
Create Skills
Once your team has identified repeatable analysis patterns, encode them as skills. This is an ongoing process — add skills as new workflows emerge.
When Can I Start Asking Questions?
You don’t need to complete every step before using Ask Anything. As a rule of thumb:| Stage | What You Can Do |
|---|---|
| Table Catalog reviewed + a few entities built | Ask basic questions about your data |
| Event Catalog synced | Ask about product events and user behavior |
| Core metrics and dimensions defined | Ask business questions with accurate, consistent answers |
| Memory added | Get answers that reflect your organization’s specific context and terminology |
| Skills created | Run complex, multi-step analyses consistently |