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30 result(s) for “okapi bm25 site allegrolokalnie pp site www doa com au site planetscale com site:arxiv.org” of 67 matched · 396 ms

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https://arxiv.org/pdf/2303.12712v5
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https://arxiv.org/html/2608.02613v1
We evaluate five open-weight readers with Vanilla context, BM25-RAG, Oracle retrieval, Memobase, and MemSearch as memory backends

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https://arxiv.org/src/2405.20232
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https://arxiv.org/src/2006.03720
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https://arxiv.org/pdf/2006.02833
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https://arxiv.org/pdf/2608.02851v1
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https://arxiv.org/src/2006.01318
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https://arxiv.org/src/2006.02924
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https://arxiv.org/src/2402.03300
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https://arxiv.org/pdf/2608.03883
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https://arxiv.org/html/2501.13956v1
com Abstract We introduce Zep, a novel memory layer service for AI agents that outperforms the current state-of-the-art system, MemGPT, in the Deep Memory Retrieval (DMR) benchmark

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https://arxiv.org/html/2608.03048v1
com/JetAstra/PI-Mem Introduction The ability to reason over long contexts is increasingly important for large language models (LLMs), supporting applications such as long-document question answering (Gemini Team 2025; Yang et al

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https://arxiv.org/pdf/2608.01651v1
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https://arxiv.org/pdf/2508.11152
com three Proceedings of ACM Conference (Conference'17) book 1 1 9 9 Tianjiao ZhaoJingrao LyuStokes JonesHarrison GarberStefano PasqualiDhagash Mehtahttp://arxiv

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https://arxiv.org/pdf/2608.02976
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https://arxiv.org/pdf/2608.02615
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https://arxiv.org/pdf/2005.14165
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https://arxiv.org/pdf/2608.03118
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https://arxiv.org/src/2303.12712
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https://arxiv.org/pdf/2508.04671
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https://arxiv.org/pdf/2608.03437
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https://arxiv.org/pdf/2407.00215
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https://arxiv.org/pdf/2608.03086
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https://arxiv.org/pdf/2608.03157
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https://arxiv.org/src/2006.01331
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https://arxiv.org/src/2211.10435v1
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https://arxiv.org/pdf/2508.02691
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https://arxiv.org/pdf/2607.27070v1
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https://arxiv.org/pdf/2608.02918
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https://arxiv.org/pdf/2407.01722
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