What is query transformation in RAG (HyDE, decomposition, step-back), and when does each help?
Retrieval quality is bounded by the query, and raw user queries are frequently poor for search. The signal is knowing the techniques that rewrite the query ahead of retrieval and which failure each one fixes.
Updated Sep 2026 · Grounded in real GenAI, LLM, and AI/ML engineering interview loops and written to a senior-engineer editorial bar.
Retrieval quality is bounded by the query, and raw user queries are frequently poor for search. The signal is knowing the techniques that rewrite the query ahead of retrieval and which failure each one fixes.
Lead with where the obvious approach breaks, because that is the judgment they are screening for — most candidates jump straight to the happy path and lose the room.
Then walk the failure back through the pipeline in order, naming the one metric the customer's exec sponsor actually cares about before you propose the fix.