Open access
2026
Semantic Skyline: Multi-Embedding Skyline Query Processing for RAG Workloads in Vector Databases
Retrieval-Augmented Generation (RAG) systems and modern vector databases rely on embedding representations to retrieve semantically relevant entities. However, many real-world applications require multi-criteria query processing, where users express preferences across multiple semantic dimensions rather than a single n...
Md Arif Rahman, Taeyeon Kim, Shayhan Ameen Chowdhury et al.
· IEEE Access · 0 citations