The text discusses how built-in vector capabilities in existing databases can power Generative AI (GenAI) applications, eliminating the need for adopting a new database. It explains that while dedicated vector databases offer specialized functionality for high-dimensional data, existing data technologies are also incorporating vector capabilities. The author suggests that most users should leverage existing vector capabilities within their current databases before considering new, dedicated vector databases. They highlight PostgreSQL's pgvector extension as an example of this approach and predict that mature database technologies will gain enterprise-ready vector capabilities before dedicated vector databases harden to meet enterprise needs. The text also explores the future potential of GenAI capabilities in current database technologies, such as in-database embedding and seamless AI integration.