What AI Uses for Context
The quality of AI answers depends on context. The more Holistics AI knows about your data, your business, and your intent, the more accurate its responses will be.
Holistics AI draws from four types of context:
| Context source | What it includes | Who manages it |
|---|---|---|
| Semantic and reporting layers | Data models, datasets, fields, dashboards, visualizations | Admins, analysts and explorers |
| Custom context | Business background, expertise knowledge, terminology, response preferences | Admins and analysts |
| Conversation context | Pinned objects, inline references, chat memory | Individual users |
| Built-in context | Holistics product knowledge, AQL foundations, AI role & scope | Holistics Engineering |
The first three are within your control — improving them is the most effective way to get better AI results. See details and how to enrich them here: