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Vector Search Got You Started. Production AI Needs Tensors. (opens in new tab)

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Vector search cracked open semantic retrieval for everyone. Embed your data, embed the query, find the nearest neighbors — it works, it scales, and it replaced a lot of brittle keyword matching. But production AI systems have evolved past the point where "similar embedding" is enough. "Retrieval is evolving from a nearest-neighbor problem into a ranking and decision-making problem." A GigaOm CxO Decision Brief — The Tensor Advantage in AI Search — makes the case that the gap between prototype...

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