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