Google Cloud makes LookML semantic indexing in Knowledge Catalog generally available

[Google Cloud] Google Cloud said on October 26 that LookML semantic language indexing in Knowledge Catalog for Looker Core on Google Cloud is now generally available. According to Google Cloud, as enterprises move AI agents from prototypes into production, data teams are finding that access to data is not the same as understanding it; answering complex business questions accurately requires context such as table schemas, data lineage, governance policies and business definitions. Google Cloud said Knowledge Catalog provides a unified context graph aggregating metadata across structured tables and unstructured documents, while LookML encodes production-tested semantic logic including multi-grain join protections, conditional filters and exact KPI formulas. With the native integration, the LookML business logic behind trusted BI reporting is automatically indexed into Knowledge Catalog, giving Gemini Enterprise and custom AI agents both enterprise-wide discovery and deterministic BI semantics, according to Google Cloud. The company said that without explicit semantic rules, agents can fall into metric definition drift and naive join fan-outs that inflate financial totals.