Your question is RAG Data Quality Architecture. Take a moment with it on the right.
Talk me through your thinking if you like. When you're confident, submit your answer and I'll grade it like a real screen (7/10 or better passes).
You're working on a retrieval pipeline for an LLM application and want to compare a modern lakehouse setup with a more traditional data stack.
How does the Databricks architecture facilitate better data quality for RAG applications compared to traditional setups?