Product area
Genie
The Genie family: Genie Agents for questions over curated data, Genie One for business users, Genie Code for whoever is building, and the Genie Ontology they share.
Concepts
- 1Genie AgentsA Genie Agent is a conversational interface scoped to one business domain. A user types a question in plain language, Genie turns it into SQL against a curated set of tables, runs it on a SQL warehouse, and answers with a table, a chart and a short…Intermediate
- 2Genie OneGenie One is the Databricks user interface for people who consume data rather than build it. It is one entry point that holds three kinds of asset: AI/BI dashboards, Genie Agents, and Databricks Apps. There is no compute picker, no notebook, no query editor…Beginner
- 3Genie CodeGenie Code is the assistant built into the workspace. It writes and runs code, builds pipelines and dashboards, explains and fixes errors, and reads Unity Catalog to know what your tables actually contain.Beginner
- 4The Genie OntologyThe Genie Ontology is one context layer, shared across the Genie surfaces. Genie One and Genie Code, the two neighbours of a Genie Agent, search the same ontology, so a definition curated once reaches both instead of being re-entered per tool.Intermediate Preview
- 5The Genie knowledge storeA new Genie Agent knows only what the table and column names suggest. Everything an author adds on top falls into three layers:Intermediate
- 6Tuning a Genie Agent for correct answersA Genie Agent answers correctly for two reasons: the data underneath it is described well, and the author has given it worked answers to the questions people actually ask. The first half is the knowledge store, and it has its own page (see genie knowledge…Intermediate
- 7Genie benchmarks, feedback and monitoringThree instruments tell an author whether a Genie Agent can be trusted:Intermediate
- 8Using Genie outside the UI: API, embedding and agentsA Genie Agent is not tied to its own chat window. The same agent can answer from:Advanced
Also covered here
- Domains and PagesThe Genie Ontology has two halves. The inferred half is built for you from queries, dashboards and metric views. This page is about the other half, the one a person writes and Unity Catalog governs.
- Metric viewsA metric view is a Unity Catalog securable whose definition is a YAML document rather than a SELECT. The YAML names a source, optional joins and a filter, then two lists: fields (scalar expressions you group and filter by) and measures (aggregate expressions…
- Query parameters and session variablesA named parameter marker is a colon followed by a name, written where a value would go: WHERE fareamount < :fareparameter. It is a typed placeholder, not text substitution. The value is supplied when the statement runs, by the widget the surface renders, by…
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