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What is the difference between sparse and dense embeddings, and why does hybrid retrieval combine them?

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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