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Zilliz在开源项目提出两阶段Jev检索方案
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2026年11月5日,Zilliz团队在开源项目Vector Graph RAG中提出两阶段Jev决策模型检索方案。针对多跳问答场景中大模型重排耗时过长的问题,该方案通过先筛选图谱关系、再对候选原文进行重排的机制,有效优化了Vector Graph RAG的多跳召回率与检索延迟。目前该检索方案已在其开源项目中正式提出。
AI-generated from reports · Updated 3 hours ago
Latest developmentsNov 5 17:38
Zilliz在Vector Graph RAG中提出两阶段Jev检索方案,优化多跳召回与延迟。Report timeline
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Nov 5
- AITNT · AI头条Zilliz 提出两阶段 Jev 检索优化 Vector Graph RAG 多跳召回与延迟
Zilliz 团队在开源项目 Vector Graph RAG 中提出两阶段 Jev 决策模型检索方案,先筛选图谱关系再对候选原文重排,解决了多跳问答中大模型重排耗时过长的问题。
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