RiftANN: Efficient Graph Traversal for Vector Search with RDMA-Based Memory Disaggregation
Graph indexes for billion-scale vector collections can exceed a single server's DRAM capacity. Passive RDMA-based disaggregated memory provides scalable capacity without memory-node computation, but conventional best-first search performs poorly in this setting. Fine-grained and unnecessary remote reads increase commun...