Zachary Bennett developed a performance-focused feature for the rapidsai/cuvs repository, refactoring search methods across multiple index types to accept shared references rather than consuming the index. By leveraging Rust and applying algorithm optimization and data structure expertise, he enabled real-time search reuse for CAGRA, IVF-PQ, IVF-Flat, and Brute Force indexes. This approach eliminated the need to rebuild indexes after each search, reducing downtime and maintenance costs for production workloads. The work maintained full unit-test compatibility and aligned the Rust API with established patterns in other ANN libraries, resulting in improved throughput and lower latency for high-volume search applications.