Grounding agents in one context graph connecting semantic models you already trust

ملخص مفصل

Give AI agents the definitions you already trust. Knowledge Catalog ingests Looker, BigQuery, dbt, Snowflake, Databricks, and SAP semantic models.

Picture the scene: Before an executive business review, your VP of Sales asks an AI assistant, "What was net revenue for our top enterprise accounts last quarter?" In seconds, the agent returns a polished chart! Unfortunately, the numbers don't match the finance report. Why? Because the agent counted cancelled orders as revenue and pulled from an unvalidated staging table.

The agent didn't fail because of the model, or because it couldn't translate a user question into a query. It failed because it didn't understand your business. The real kicker is that understanding usually already exists in the form of a semantic model in a Looker, dbt, Snowflake, Databricks, or SAP system. But because each definition stays locked inside its own tool, every agent guesses at it… and often gets it wrong.

This is where Knowledge Catalog comes in. It brings the semantic models from all of those tools into one context graph, so every agent works from the same trusted definitions. And when two tools define the same metric differently, both definitions appear with their provenance, so data stewards can reconcile the conflict before it reaches end users.

Today, we're announcing the general availability of expanded semantic model support. Knowledge Catalog now 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), and connects them with schema, lineage, data profiles, business glossary and other key metadata in a single context graph, without moving data or rewriting business logic in a new language.

By grounding your AI agents in those models, they get the same business definitions your analysts rely on, so their answers line up with the numbers your business trusts.

Side-by-side comparison of the same question in Gemini without Knowledge Catalog (left) and grounded in Knowledge Catalog (right).

The context graph that…

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