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title: LookML metadata indexing in Knowledge Catalog is now GA
description: LookML semantic language indexing in Google Cloud's Knowledge Catalog is now generally available for Looker Core. It automatically indexes LookML models,...
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og:description: LookML semantic language indexing in Google Cloud's Knowledge Catalog is now generally available for Looker Core. It automatically indexes LookML models,...
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# LookML metadata indexing in Knowledge Catalog is now GA

**[Google Cloud](https://daily.dev/sources/gcp)** · 9 min read · 0 upvotes · 0 comments

## Summary

LookML semantic language indexing in Google Cloud's Knowledge Catalog is now generally available for Looker Core. It automatically indexes LookML models, Explores, Views, join paths, and dashboards into Knowledge Catalog, making exact metric definitions and join logic available to Gemini Enterprise and custom AI agents. With live sync, updates pushed to production LookML are reflected in Knowledge Catalog in near-real-time. Metadata indexing is enabled by default for new instances with no additional charge for storing Looker technical metadata, though it requires enabling the Cloud Dataplex API and Data Lineage API plus granting roles like roles/dataplex.viewer and roles/looker.schemaViewer.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://cloud.google.com/blog/products/business-intelligence/lookml-metadata-indexing-in-knowledge-catalog-is-now-ga>

## Questions this post answers

### What does LookML indexing in Google Cloud Knowledge Catalog actually do for AI agents?

It indexes LookML models, Explores, Views, join paths, and dashboards directly into Knowledge Catalog, giving AI agents like Gemini Enterprise access to exact metric formulas, join cardinality rules, and governance tags instead of forcing them to infer SQL math at runtime. Live sync keeps this indexed logic updated in near-real-time as production LookML changes.

_Teams grounding AI agents in governed BI semantics can track Looker and Knowledge Catalog updates on daily.dev._

### How do I enable Knowledge Catalog integration with Looker Core on Google Cloud?

Metadata synchronization is enabled by default for new Looker Core instances at no extra charge for technical metadata storage. You need to enable the Cloud Dataplex API and Data Lineage API in your project and grant users roles/dataplex.viewer, roles/looker.schemaViewer, and roles/datalineage.viewer so resolved models, Explores, Views, and dashboards sync automatically.

_Engineers wiring up Looker and BigQuery governance can follow setup changes like this on daily.dev._

### What is the difference between Looker Conversational Analytics and an enterprise agent grounded in Knowledge Catalog?

Looker Conversational Analytics is a dedicated BI assistant for business users asking questions scoped to a focused set of curated Looker Explores, delivering self-service exploration inside Looker. An enterprise agent grounded in Knowledge Catalog instead serves Gemini Enterprise users spanning federated Data Cloud sources like BigQuery, structured tables, BI metrics, and unstructured documents across hundreds of LookML models.

_Architects choosing between BI assistants and enterprise-wide agents can compare approaches on daily.dev._

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Tags: [#big-data](https://daily.dev/tags/big-data), [#bi](https://daily.dev/tags/bi), [#google-bigquery](https://daily.dev/tags/google-bigquery)

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