10 citations · 10 across the 5 of their papers we have counts for
5 papers
Scalable Distributed Vector Search via Accuracy Preserving Index Construction
Yuming Xu, Qianxi Zhang, Qi Chen +8
Scaling Approximate Nearest Neighbor Search (ANNS) to billions of vectors requires distributed indexes that balance accuracy, latency, and throughput. Yet existing index designs st…
DISTRIBUTEDANN: Efficient Scaling of a Single DISKANN Graph Across Thousands of Computers
Philip Adams, Menghao Li, Shi Zhang +6
We present DISTRIBUTEDANN, a distributed vector search service that makes it possible to search over a single 50 billion vector graph index spread across over a thousand machines t…
VecFlow: A High-Performance Vector Data Management System for Filtered-Search on GPUs
Jingyi Xi, Chenghao Mo, Benjamin Karsin +3
Vector search and database systems have become a keystone component in many AI applications. While many prior research has investigated how to accelerate the performance of generic…
HERA: Hybrid Edge-cloud Resource Allocation for Cost-Efficient AI Agents
Shiyi Liu, Haiying Shen, Shuai Che +2
In the realm of AI, large language models (LLMs) like GPT-4, central to the operation of AI agents, predominantly operate in the cloud, incurring high operational costs. With local…
MS MARCO Web Search: a Large-scale Information-rich Web Dataset with Millions of Real Click Labels
Qi Chen, Xiubo Geng, Corby Rosset +28
Recent breakthroughs in large models have highlighted the critical significance of data scale, labels and modals. In this paper, we introduce MS MARCO Web Search, the first large-s…