MySQL 9.0.0 introduces a powerful new Vector data type and associated functions, adding possibilities for AI applications to use your existing MySQL database directly, instead of yet another special datastore. This talk will explore how vectors enable similarity comparisons or semantic search functionality within MySQL. We will also dive into how vector based Retrieval Augmented Generation (RAG) can extend Large Language Models (LLMs) by using your domain-specific data already stored in MySQL. We will also have a short comparison of the different Vector implementations in the MySQL ecosystem. By the end of this talk you will understand how MySQL’s vector capabilities can be used for your AI workflows and applications.