AquaPipe: A Quality-Aware Pipeline for Knowledge Retrieval and Large Language Models

Summary: AquaPipe pipelines disk-based ANNS with LLM prefill to overlap retrieval and inference in RAG. Recall-aware prefetching, adaptive prefill, and dynamic chunking balance latency and GPU efficiency, delivering 56–99% masking, 1.3–2.6x speedups, and ~1% recall loss. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 7072
Venue: SIGMOD
Year: 2025
Pagerank: 5.7808599e-05
Overall Rank: 6,765 | 53.59%
DOI: 10.1145/3709661

Incoming Non-self Citations Over Time

Authors

1. Runjie Yu (Huazhong University of Science and Technology)
2. Weizhou Huang (Huazhong University of Science and Technology)
3. Shuhan Bai (Huazhong University of Science and Technology)
4. Jian Zhou (Huazhong University of Science and Technology)
5. Fei Wu (Huazhong University of Science and Technology)

BibTeX Citation

@inproceedings{yu_sigmod25,
        title = {{AquaPipe: A Quality-Aware Pipeline for Knowledge Retrieval and Large Language Models}},
        author = {Yu, Runjie and Huang, Weizhou and Bai, Shuhan and Zhou, Jian and Wu, Fei},
        series = {{SIGMOD} '25},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3709661},
        url = {https://dl.acm.org/doi/10.1145/3709661},
        year = {2025}
}

Incoming Citations (Sorted by Pagerank)

Showing 4 of 4 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
10,377	High-Throughput, Cost-Effective Billion-Scale Vector Search with a Single GPU	2026	SIGMOD	5.093636e-05
10,400	Scalable Graph Indexing using GPUs for Approximate Nearest Neighbor Search	2026	SIGMOD	5.093636e-05
10,418	MorphingDB: A Task-Centric AI-Native DBMS for Model Management and Inference	2026	SIGMOD	5.093636e-05
10,563	Balancing the Blend: An Experimental Analysis of Trade-offs in Hybrid Search	2026	VLDB	5.093636e-05

Outgoing Citations (Sorted by Pagerank)

Showing 12 of 12 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank	Cited Paper	Year	Venue	Pagerank
93	Fast Approximate Nearest Neighbor Search With The Navigating Spreading-out Graph	2019	VLDB	0.00034701237
286	Milvus: A Purpose-Built Vector Data Management System	2021	SIGMOD	0.00022357911
332	Query-Aware Locality-Sensitive Hashing for Approximate Nearest Neighbor Search	2016	VLDB	0.00020920444
398	A Comprehensive Survey and Experimental Comparison of Graph-Based Approximate Nearest Neighbor Search	2021	VLDB	0.00019194947
705	HD-Index: Pushing the Scalability-Accuracy Boundary for Approximate kNN Search in High-Dimensional Spaces	2018	VLDB	0.00014829964
805	Cache locality is not enough: High-Performance Nearest Neighbor Search with Product Quantization Fast Scan	2016	VLDB	0.00013891999
926	Improving Approximate Nearest Neighbor Search through Learned Adaptive Early Termination	2020	SIGMOD	0.00013181732
1,589	Manu: A Cloud Native Vector Database Management System	2022	VLDB	0.00010264469
1,628	Fast and Unified Local Search for Random Walk Based K-Nearest-Neighbor Query in Large Graphs	2014	SIGMOD	0.00010186757
1,802	HVS: Hierarchical Graph Structure Based on Voronoi Diagrams for Solving Approximate Nearest Neighbor Search	2022	VLDB	9.7284341e-05
5,223	FARGO: Fast Maximum Inner Product Search via Global Multi-Probing	2023	VLDB	6.3102417e-05
7,474	GTS: GPU-based Tree Index for Fast Similarity Search	2024	SIGMOD	5.6093517e-05

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