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Design a two-tower retrieval system for recommendation/candidate generation.

How large recommenders and search pull candidates from millions of items in milliseconds. The signal is why the user and item towers are separate, how that unlocks precomputed embeddings plus an ANN index, and where ranking takes over.

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

How large recommenders and search pull candidates from millions of items in milliseconds. The signal is why the user and item towers are separate, how that unlocks precomputed embeddings plus an ANN index, and where ranking takes over.

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