AI search
AI search for Apache Superset dashboards
For people who do not know the catalog by heart — management, stakeholders, adjacent teams. A plain-language question → ranked dashboard matches when titles and tags are not enough.
- For management
- Discovery
- Intent search
Plain-language question
Where do I see margin by category?
Catalog matches
- 98%
Margin by category
Finance · Executive
- 74%
Revenue deep-dive
Sales · Weekly
- 68%
P&L by region
Finance · Regional
Why this exists
Analysts know where the board lives. Everyone else does not.
Power users find boards by name or ask a colleague. The friction is when a director or manager searches for "margin by category this quarter" and Superset only offers literal title search. As the catalog grows, discovery becomes tribal knowledge and a round trip through the analyst.
We build discovery as a system: a kept-fresh index, scheduled background refresh, and an LLM layer that maps the reader's question to the right board. AI descriptions from the artifacts flow give that layer meaningful material — not guessing over empty metadata.
Scope of work
What we implement
Catalog knowledge base
Searchable representation of dashboards and their context — scoped to what each user is allowed to see.
Background refresh
Scheduled server-side work that keeps the index aligned as authors publish — not a one-off import that goes stale.
LLM-assisted discovery
Query surface in Superset where the reader asks in natural language and lands on ranked dashboard matches — without routing through the analyst.
Pairs with AI-generated artifacts
Descriptions from the artifacts flow are what make intent search reliable — we implement both sides of the same layer.
Need the system fixed fast?
Stop shipping decisions on broken numbers.
We audit what is failing, repair the foundation, and work with your team until data is reliable in day-to-day decisions.
- Founders in the implementation
- Clear priorities in week one
- Fixes shipped, not just slides
- Metric ownership made explicit
- Pipeline failures caught early
- BI logic aligned across teams
Book a focused call
Tell us where trust is breaking. We will map first fixes and ownership in one working session.