Unverified50% confidenceTradeoffExact time
Natively embedding vector search into the runtime allows reuse of the engine's existing mechanisms such as partition pruning, vectorized execution, and Adaptive Query Execution (AQE), eliminating the need to separately maintain a distributed infrastructure.
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50%
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Long-term
Relevance
10/5/2026
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UnverifiedThe ultra-fast mode supports concurrent searches, enabling engineers to investigate multiple leads simultaneously rather than sequentially one by one.74% similarUnverifiedThe adaptive mechanism evaluates query complexity, routing simple queries through a lightweight fast path and only invoking the more complete and time-consuming retrieval and reasoning pipeline for complex queries.65% similarUnverifiedA phased design makes each intermediate artifact inspectable and correctable by humans, striking a balance between automation efficiency and quality controllability.65% similarUnverifiedA common engineering optimization strategy is to add an intent complexity classifier at the request entry point, using a lightweight model or rules to determine whether a query is a multi-segment question, thereby routing it to the appropriate retrieval pipeline.65% similarUnverifiedThe framework has so far been validated primarily in controlled benchmark settings, and the efficiency and generalization ability of its greedy search in real production scenarios remain to be further examined.65% similar
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