🔧 Pushing Billion-Scale Vector Search Beyond RAM Limits with DiskANN

The Memory Wall Problem
Most vector indexes prioritize RAM for low latency. HNSW, for example, achieves 95% recall at <5ms for 100M vectors but requires ~500GB RAM. At 1B vectors, RAM costs exceed... [Weiterlesen]