--- title: Expanded semantic model support in Knowledge Catalog description: Google Cloud's Knowledge Catalog now has general availability for expanded semantic model support. It natively ingests semantic models and metric definitions... canonical: https://daily.dev/posts/expanded-semantic-model-support-in-knowledge-catalog-qap7apeat twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: Expanded semantic model support in Knowledge Catalog | daily.dev og:description: Google Cloud's Knowledge Catalog now has general availability for expanded semantic model support. It natively ingests semantic models and metric definitions... og:url: https://daily.dev/posts/expanded-semantic-model-support-in-knowledge-catalog-qap7apeat og:image: https://api.daily.dev/og/posts/Qap7APeat.png og:image:alt: Expanded semantic model support in Knowledge Catalog og:image:width: 1200 og:image:height: 630 og:locale: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # Expanded semantic model support in Knowledge Catalog **[Google Cloud](https://daily.dev/sources/gcp)** · 6 min read · 1 upvotes · 0 comments ## Summary Google Cloud's Knowledge Catalog now has general availability for expanded semantic model support. It natively ingests semantic models and metric definitions from Looker LookML, BigQuery Graph, dbt MetricFlow, Snowflake Semantic Views, Databricks Metric Views, and SAP Core Schema Notation. These connect with schema, lineage, data profiles and business glossary in one context graph, without moving data or rewriting business logic. Google says grounding agents in Knowledge Catalog makes them nearly 4x more accurate, with up to 33% lower latency and up to 75% fewer tokens. Knowledge Studio, currently in preview, lets teams explore the context graph and package validated definitions into reusable context sets for Gemini and custom agents. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Questions this post answers ### What semantic model sources does Google Cloud Knowledge Catalog support? Knowledge Catalog natively ingests semantic models and metric definitions from Looker LookML, BigQuery Graph (including BigQuery measures), dbt MetricFlow, Snowflake Semantic Views, Databricks Metric Views, and SAP Core Schema Notation (CSN). These connect with schema, lineage, data profiles, and business glossary in a single context graph, without moving data or rewriting business logic. _Evaluating semantic layers across your stack? Track governance and AI-grounding tools like this on daily.dev._ ### How much does grounding AI agents in a semantic layer improve accuracy, according to Google Cloud? Grounding agents in Knowledge Catalog makes them nearly 4 times more accurate, according to Google Cloud's internal benchmarks, while using up to 33% lower latency and up to 75% fewer tokens compared to ungrounded agents. The improvement comes from agents using trusted metric formulas and filters instead of guessing at business definitions across tools. _Developers building reliable AI agents on enterprise data follow results like this on daily.dev._ ## Similar posts on daily.dev - [LookML metadata indexing in Knowledge Catalog is now GA](https://daily.dev/posts/lookml-metadata-indexing-in-knowledge-catalog-is-now-ga-cdeiupbsv) · Google Cloud · 0 upvotes · 0 comments - [Knowledge Catalog: self-learning context enrichment for AI agents](https://daily.dev/posts/knowledge-catalog-self-learning-context-enrichment-for-ai-agents-1skwpkqbh) · Google Cloud · 1 upvotes · 0 comments - [Announcing General Availability and Open Sourcing of Unity Catalog Business Semantics](https://daily.dev/posts/announcing-general-availability-and-open-sourcing-of-unity-catalog-business-semantics-jlxuko9gg) · databricks · 0 upvotes · 0 comments - [Building a Context Layer for AI Agents](https://daily.dev/posts/building-a-context-layer-for-ai-agents-z4l85u5v6) · Snowflake · 1 upvotes · 0 comments - [The bottleneck moved: how to build a semantic layer for AI Analytics](https://daily.dev/posts/the-bottleneck-moved-how-to-build-a-semantic-layer-for-ai-analytics-appzsz9ve) · Metabase · 0 upvotes · 0 comments --- Tags: [#ai-agents](https://daily.dev/tags/ai-agents), [#big-data](https://daily.dev/tags/big-data), [#google-bigquery](https://daily.dev/tags/google-bigquery) [View this post on daily.dev](https://daily.dev/posts/expanded-semantic-model-support-in-knowledge-catalog-qap7apeat) ```json {"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://daily.dev/#organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180},"sameAs":["https://twitter.com/dailydotdev","https://github.com/dailydotdev","https://www.linkedin.com/company/daily-dev-ltd"]},{"@type":"WebSite","@id":"https://daily.dev/#website","url":"https://daily.dev","name":"daily.dev","publisher":{"@id":"https://daily.dev/#organization"},"potentialAction":{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https://daily.dev/search?q={search_term_string}"},"query-input":"required name=search_term_string"}}]} {"@context":"https://schema.org","@type":"TechArticle","headline":"Expanded semantic model support in Knowledge Catalog","url":"https://daily.dev/posts/expanded-semantic-model-support-in-knowledge-catalog-qap7apeat","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/expanded-semantic-model-support-in-knowledge-catalog-qap7apeat"},"datePublished":"2026-10-29T16:08:18.007Z","dateModified":"2026-10-29T16:08:46.598Z","description":"Google Cloud's Knowledge Catalog now has general availability for expanded semantic model support. 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