3 papers
cs.AR2026
ACRONYM: Accelerated Approximate Nearest Neighbor Search in Memory for Dynamic Vector Databases
Md Mizanur Rahaman Nayan, Tianqi Zhang, Flavio Ponzina +2
Vector database search with frequent updates is increasingly critical in applications such as retrieval augmented generation, recommendation systems, and large-scale embedding retr…
cs.LG2026
FaTRQ: Tiered Residual Quantization for LLM Vector Search in Far-Memory-Aware ANNS Systems
Tianqi Zhang, Flavio Ponzina, Tajana Rosing
Approximate Nearest-Neighbor Search (ANNS) is a key technique in retrieval-augmented generation (RAG), enabling rapid identification of the most relevant high-dimensional embedding…
cs.DB2026
SpANNS: Optimizing Approximate Nearest Neighbor Search for Sparse Vectors Using Near Memory Processing
Tianqi Zhang, Flavio Ponzina, Tajana Rosing
Approximate Nearest Neighbor Search (ANNS) is a fundamental operation in vector databases, enabling efficient similarity search in high-dimensional spaces. While dense ANNS has bee…