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Databricks Interview: Lakehouse RAG (EXPLAINED)

Company BasedRAGHard25 min read

Hard RAG interview question on databricks interview: lakehouse rag — architecture, trade-offs, eval, and production patterns.

TL;DR — Quick Answer

Unity Catalog for ACL-aware document tables, Delta Live Tables for ingestion, Mosaic AI Vector Search or external index, MLflow for eval tracking. Highlight governance, lineage, and batch re-embedding at lakehouse scale.

The Interview Question

Design RAG on a Databricks lakehouse with Unity Catalog governance, Delta tables, and vector search at scale.

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