Zilliz Triumphed in Billion-Scale ANN Search Challenge of NeurIPS 2021

On December 6th, 2021, Zilliz's research team won the first Approximate Nearest Neighbor (ANN) Search Challenge at NeurIPS 2021 with their Disk Performance Optimization Algorithm. The challenge focused on leveraging ANN search on billion-scale datasets and attracted participants from top institutions and companies. Zilliz's solution, BBAnn, performed exceptionally well in the SimSearchNet++ dataset, retrieving 88.573% of all relevant results compared to a baseline of 16.274%. The team plans to implement this achievement in Milvus, an open-source vector database with applications in new drug discovery, recommender systems, chatbots, and more.

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