2 citations · 4 across the 13 of their papers we have counts for
14 papers
QCFuse: Query-Aware Cache Fusion via Compressed View for Efficient RAG Serving
Jianxin Yan, Wangze Ni, Zhenxin Li +8
Retrieval-augmented generation (RAG) improves large language model (LLM) answer quality by grounding generation in external evidence, but processing retrieved contexts makes the pr…
Explaining the "Why": A Unified Framework for the Additive Attribution of Changes in Arbitrary Measures
Changsheng Zhou, Dajun Chen, Zhitao Shen +3
Explaining why aggregated measures change is a critical challenge in data analytics that existing systems struggle to address. While current attribution methods exist, they lack a…
QCFuse: Query-Centric Cache Fusion for Efficient RAG Inference
Jianxin Yan, Zeheng Qian, Wangze Ni +6
Cache fusion accelerates generation process of LLMs equipped with RAG through KV caching and selective token recomputation, thereby reducing computational costs and improving effic…
FGIM: a Fast Graph-based Indexes Merging Framework for Approximate Nearest Neighbor Search
Zekai Wu, Jiabao Jin, Peng Cheng +7
As the state-of-the-art methods for high-dimensional data retrieval, Approximate Nearest Neighbor Search (ANNS) approaches with graph-based indexes have attracted increasing attent…
Approximate Nearest Neighbor Search of Large Scale Vectors on Distributed Storage
Kun Yu, Jiabao Jin, Xiaoyao Zhong +6
Approximate Nearest Neighbor Search (ANNS) in high-dimensional space is an essential operator in many online services, such as information retrieval and recommendation. Indices con…
OpenDerisk: An Industrial Framework for AI-Driven SRE, with Design, Implementation, and Case Studies
Peng Di, Faqiang Chen, Xiao Bai +12
The escalating complexity of modern software imposes an unsustainable operational burden on Site Reliability Engineering (SRE) teams, demanding AI-driven automation that can emulat…
SINDI: An Efficient Index for Sparse Vector Approximate Maximum Inner Product Search
Ruoxuan Li, Xiaoyao Zhong, Jiabao Jin +7
Sparse vector Maximum Inner Product Search (MIPS) is crucial in multi-path retrieval for Retrieval-Augmented Generation (RAG). Recent inverted index-based and graph-based algorithm…
LogLite: Lightweight Plug-and-Play Streaming Log Compression
Benzhao Tang, Shiyu Yang, Zhitao Shen +3
Log data is a vital resource for capturing system events and states. With the increasing complexity and widespread adoption ofmodern software systems and IoT devices, the daily vol…
EnhanceGraph: A Continuously Enhanced Graph-based Index for High-dimensional Approximate Nearest Neighbor Search
Xiaoyao Zhong, Jiabao Jin, Peng Cheng +5
Recently, Approximate Nearest Neighbor Search in high-dimensional vector spaces has garnered considerable attention due to the rapid advancement of deep learning techniques. We obs…
TierBase: A Workload-Driven Cost-Optimized Key-Value Store
Zhitao Shen, Shiyu Yang, Weibo Chen +12
In the current era of data-intensive applications, the demand for high-performance, cost-effective storage solutions is paramount. This paper introduces a Space-Performance Cost Mo…
ESG: Elastic Graphs for Range-Filtering Approximate k-Nearest Neighbor Search
Mingyu Yang, Wentao Li, Zhitao Shen +2
Range-filtering approximate -nearest neighbor (RFAKNN) search takes as input a vector and a numeric value, returning points from a database of high-dimensional points. T…
VSAG: An Optimized Search Framework for Graph-based Approximate Nearest Neighbor Search
Xiaoyao Zhong, Haotian Li, Jiabao Jin +11
Approximate nearest neighbor search (ANNS) is a fundamental problem in vector databases and AI infrastructures. Recent graph-based ANNS algorithms have achieved high search accurac…
Effective and General Distance Computation for Approximate Nearest Neighbor Search
Mingyu Yang, Wentao Li, Jiabao Jin +5
Approximate K Nearest Neighbor (AKNN) search in high-dimensional spaces is a critical yet challenging problem. In AKNN search, distance computation is the core task that dominates…
High-Ratio Compression for Machine-Generated Data
Jiujing Zhang, Zhitao Shen, Shiyu Yang +7
Machine-generated data is rapidly growing and poses challenges for data-intensive systems, especially as the growth of data outpaces the growth of storage space. To cope with the s…