5 criteria for choosing a vector database that will survive production

To avoid production failures, the author argues that teams must move beyond superficial benchmarks and evaluate vector databases using their specific data distributions to accurately measure the trade-off between recall and throughput. Furthermore, a production-ready system should natively support hybrid search capabilities and enterprise-grade security controls to prevent the need for complex secondary systems or costly migrations.