11 citations · 36 across the 10 of their papers we have counts for
6 papers · 1 filter
UBASE: An AI Search Engine for Trillion-Scale Vector Data Management at ByteDance
Yao Tian, Yuncheng Lu, Liyao Xiong +9
Since 2016, UBASE has been the foundation of ByteDance's search infrastructure, scaling to more than 7,000 clusters and 300 PB of indexed data. Driven by the demands of AI workload…
Beyond Retrieval: Analytic Memory for Multimodal Agents
Zhoujin Tian, Hao Zhang, Yao Tian +4
Long-term multimodal memory must support not only retrieving relevant information but also computing over observations accumulated across interactions. Existing systems largely emp…
DocNavRAG: Document-Structured Graph RAG with Stateful Evidence Construction for Complex Document Question Answering
Dongyang Xie, Yao Tian, Hao Zhang +5
Answering complex questions over large document collections requires assembling complementary evidence across sections and documents. GraphRAG offers structured retrieval but typic…
VisualNeo: Bridging the Gap between Visual Query Interfaces and Graph Query Engines
Kai Huang, Houdong Liang, Chongchong Yao +5
Visual Graph Query Interfaces (VQIs) empower non-programmers to query graph data by constructing visual queries intuitively. Devising efficient technologies in Graph Query Engines…
GEM: A Native Graph-based Index for Multi-Vector Retrieval
Yao Tian, Zhoujin Tian, Xi Zhao +2
In multi-vector retrieval, both queries and data are represented as sets of high-dimensional vectors, enabling finer-grained semantic matching and improving retrieval quality over…
Optimizing SSD-Resident Graph Indexing for High-Throughput Vector Search
Weichen Zhao, Yuncheng Lu, Yao Tian +5
Graph-based approximate nearest neighbor search (ANNS) methods (e.g., HNSW) have become the de facto state of the art for their high precision and low latency. To scale beyond main…