Skip to main content
Search

# Genie Search

2 related articles

Subscribe to updates
  1. Databricks Blog

    Databricks launches Genie, an autonomous AI coworker for long-running enterprise work, answering 91% of benchmark task runs correctly

    Databricks released a new version of Genie that turns it from an on-demand data assistant into an autonomous AI coworker that continuously carries long-running enterprise work: it tracks progress, follows up on missing inputs, and acts as new information arrives, while users set guardrails and approve key actions. The autonomy rests on Genie Ontology, which organizes business definitions, metrics, relationships and organizational knowledge into context agents can use. On a new benchmark built with Turing, in the same Databricks workspace, Genie powered by Genie Ontology answered correctly in 91% of task runs, 1.6 times the rate of the stronger frontier agent, while using less than half as many tokens.

  2. Databricks Blog

    Databricks ships Genie Ontology: agents answer 91% of benchmark runs correctly, versus 58% for the best frontier agent

    Databricks announced general availability of Genie Ontology, a layer of enterprise business context that agents learn automatically and people govern. Enterprise ontologies were previously built and maintained by specialists, covering only a narrow slice of the business and going stale quickly; Genie Ontology extracts reusable ontology snippets from dashboards, SQL queries, notebooks and semantic models, then ranks them by authority before handing context to an agent. On a benchmark built with Turing around a fictional UK energy supplier, Genie drawing on the ontology answered correctly in 91% of runs, against 45% and 58% for two frontier agents.

You’re all caught up