Vector search operations can be resource intensive, especially when dealing with large-scale vector datasets. SmartObserve provides several optimization techniques for reducing memory usage.
Vector quantization
Reduce vector storage space by quantizing vectors
Disk-based vector search
Uses binary quantization to reduce the operational costs of vector workloads