Boosting Vector Search Performance by 16x via Hot Path Optimization

This case study demonstrates that massive performance gains can be achieved through low-level code refinements without changing the underlying algorithm. For modern AI applications relying on vector databases, these optimizations are crucial for reducing latency and managing infrastructure costs.