The world of Generative AI (GenAI) has revolutionized how we store, query, and analyze data, leveraging vector embeddings to understand, organize, and generate meaningful content. However, traditional databases struggle to handle the high-dimensional and noisy nature of unstructured data, making specialized systems like vector databases essential for efficient storage and retrieval. CockroachDB, a highly resilient distributed database, has emerged as a powerful backend for Retrieval-Augmented Generation (RAG) systems, delivering fresh, scalable, and consistent data to enrich AI-generated content. With its built-in Vector datatype, strong consistency, and 99.999% SLA in its cloud offering, CockroachDB enables the performance and availability required for next-gen workloads, making it an exciting addition to the field of GenAI.