Dense vs sparse is the core retrieval tradeoff, and 'just use embeddings' silently loses every exact-match query. The signal is knowing what each representation captures and why production blends them. Here is the answer.
Updated Aug 2026 · Grounded in real Applied AI Engineer interview loops and written to a senior-engineer editorial bar.
Dense vs sparse is the core retrieval tradeoff, and 'just use embeddings' silently loses every exact-match query. The signal is knowing what each representation captures and why production blends them. Here is the answer.
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