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RAG for Structured + Unstructured Data (EXPLAINED)

Scenario BasedRAGHard25 min read

Hard RAG interview question on rag for structured + unstructured data — architecture, trade-offs, eval, and production patterns.

TL;DR — Quick Answer

Route via intent: text-to-SQL or API for structured facts, vector RAG for prose. Join results in unified context or use agents that pick tools per sub-question — never rely on embedding raw tables alone.

The Interview Question

Explain rag for structured + unstructured data. How would you design, implement, and evaluate this in a production RAG system? Discuss trade-offs and failure modes.

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