2 citations · 5 across the 7 of their papers we have counts for
9 papers
BubbleRAG: Evidence-Driven Retrieval-Augmented Generation for Black-Box Knowledge Graphs
Duyi Pan, Tianao Lou, Xin Li +5
Large Language Models (LLMs) exhibit hallucinations in knowledge-intensive tasks. Graph-based retrieval augmented generation (RAG) has emerged as a promising solution, yet existing…
Reverse Neighbor Sliding and Order Selection for Efficient Multi-Proximity Graph Merging
Liuchang Jing, Mingyu Yang, Lei Li +2
Approximate k Nearest Neighbor (AKNN) search in high-dimensional space is a foundational problem in vector databases with widespread applications. Among the numerous AKNN indexes,…
E2E: Efficient Filtered AKNN Search via Adaptive Termination
Wenxuan Xia, Mingyu Yang, Wentao Li +1
Approximate k-Nearest Neighbor (AKNN) search is widely used in vector databases. When vectors carry additional attributes (e.g., labels or numerical values), filtered AKNN search r…
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…
Elastic Index Selection for Label-Hybrid AKNN Search
Mingyu Yang, Wenxuan Xia, Wentao Li +2
Real-world vector embeddings are usually associated with extra labels, such as attributes and keywords. Many applications require the nearest neighbor search that contains specific…
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…
Quantization Meets Projection: A Happy Marriage for Approximate k-Nearest Neighbor Search
Mingyu Yang, Liuchang Jing, Wentao Li +1
Approximate -nearest neighbor (AKNN) search is a fundamental problem with wide applications. To reduce memory and accelerate search, vector quantization is widely adopted. Howev…
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…