Unverified50% confidenceTradeoffExact time
Agentic retrieval involves multiple rounds of model calls and multiple knowledge base queries, resulting in higher token consumption and latency compared to single retrieval.
1
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50%
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Long-term
Relevance
10/5/2026
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Related Claims
UnverifiedWhen quantifying the cost difference between the two retrieval paths, three dimensions must be considered: token usage, number of knowledge base queries, and end-to-end latency.73% similarUnverifiedQuery 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.72% similarUnverifiedMulti-step agent loops are more fragile than single calls, because subtle deviations in parameter types become increasingly common as they accumulate across steps.71% similarUnverifiedTraditional parallel retrieval is fast but often sacrifices accuracy, while sequential search yields more precise results but introduces noticeable latency.71% similarUnverifiedThe main reasons Agent frameworks are slower than direct conversation are that system prompts inject large numbers of tool definitions, multi-round ReAct reasoning loops occur, and context accumulation causes the number of input tokens to surge.71% similar
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