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Snowflake

Cloud data platform for data warehousing and analytics

How nao works with Snowflake

nao connects directly to Snowflake and reads your full schema on every sync, giving the analytics agent an accurate view of your databases, schemas, and tables. If you use dbt, nao ingests your manifest automatically: model documentation, lineage, metric definitions, and grain rules all become agent context with no manual re-documentation.

Queries execute in your own Snowflake account using your credentials. Business users ask questions in plain English from the nao Chat UI, Slack, or Teams, and every answer cites the tables used and shows the generated SQL, so data teams keep full control over reliability and governance.

What you can do with nao and Snowflake

  • Give analysts and ops teams self-serve access to Snowflake data in plain English
  • Import your dbt project documentation and lineage as Snowflake agent context automatically
  • Measure agent accuracy on your Snowflake question set with nao's built-in evaluation framework
  • Keep audit logs and versioned context so every Snowflake query the agent runs is traceable