Name your sources and the AI lays out bronze, silver, and gold layers with the tables in each, the transformations between them, and the consumers at the end
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Design modern data lakehouse architectures with Delta Lake, Iceberg, or Hudi for unified batch and streaming analytics
Describe your lakehouse and the AI draws workspaces, Unity Catalog, Delta tables, jobs, and the BI and ML consumers around them
Design dbt projects showing sources, staging models, marts, tests, and data lineage
Common questions about ai medallion architecture diagram generator
Bronze holds raw, append-only source data; silver holds cleaned, deduplicated, conformed tables; gold holds business-level aggregates and marts that serve BI and ML. The generator draws your actual tables into each layer rather than three empty boxes, which is what makes the diagram reviewable.
No — the pattern originated in the lakehouse world but works on Snowflake (raw/staging/marts schemas), BigQuery datasets, or DuckDB just as well. Describe your platform and the AI uses the right components and icons.
Yes — mention where tests or expectations run (dbt tests, Great Expectations, Delta constraints) and they land as annotations on the bronze-to-silver and silver-to-gold edges, which is exactly where auditors and new engineers look first.
Connect the Datadef MCP server and your coding agent can regenerate or update the diagram from the repo when models change, or embed a live view in your docs so the architecture page never drifts from reality.
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