Unverified50% confidenceTradeoffExact time
Query optimization must be completed in milliseconds; spending hundreds of milliseconds on model inference to generate a better plan is counterproductive in most online query scenarios.
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50%
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Long-term
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9/16/2026
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UnverifiedThe latency of large language model inference typically ranges from hundreds of milliseconds to several seconds, far higher than that of traditional database queries.73% similarUnverifiedEnabling deep reasoning significantly increases inference time and token consumption; questions that originally took a few seconds to answer may require several minutes.73% similarUnverifiedOptimization techniques for online inference latency include model quantization, distillation, caching, and dynamic batching, but each optimization may introduce new complexity and potential accuracy loss.73% similarUnverifiedTraditional parallel retrieval is fast but often sacrifices accuracy, while sequential search yields more precise results but introduces noticeable latency.72% similar
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