Database Paper Browser

Back to papers

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
7010
Venue
SIGMOD
Year
2025
Pagerank
4.8039257e-05
Overall Rank
7,193 | 49.97%
DOI
10.1145/3709661

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

Previous Page 1 / 1 Next

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.

Previous Page 1 / 1 Next

Semantically Similar Papers