3 citations · 3 across the 4 of their papers we have counts for
4 papers
LEANN: A Low-Storage Vector Index
Yichuan Wang, Zhifei Li, Shu Liu +10
Embedding-based vector search underpins many important applications, such as recommendation and retrieval-augmented generation (RAG). It relies on vector indices to enable efficien…
SkyStore: Cost-Optimized Object Storage Across Regions and Clouds
Shu Liu, Xiangxi Mo, Moshik Hershcovitch +11
Modern applications span multiple clouds to reduce costs, avoid vendor lock-in, and leverage low-availability resources in another cloud. However, standard object stores operate wi…
vCache: Verified Semantic Prompt Caching
Luis Gaspar Schroeder, Aditya Desai, Alejandro Cuadron +7
Semantic caches return cached responses for semantically similar prompts to reduce LLM inference latency and cost. They embed cached prompts and store them alongside their response…
Text2SQL is Not Enough: Unifying AI and Databases with TAG
Asim Biswal, Liana Patel, Siddarth Jha +5
AI systems that serve natural language questions over databases promise to unlock tremendous value. Such systems would allow users to leverage the powerful reasoning and knowledge…