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How do you build RAG over a SQL database (text-to-SQL) when the answer lives in rows, not documents?

Vector search over rows is the wrong tool when the user asks for a count or an aggregate. The signal is retrieving the right schema, generating validated SQL, and knowing when to query the database instead of embedding it.

Updated Aug 2026 · Grounded in real Applied AI Engineer interview loops and written to a senior-engineer editorial bar.

Vector search over rows is the wrong tool when the user asks for a count or an aggregate. The signal is retrieving the right schema, generating validated SQL, and knowing when to query the database instead of embedding it.

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