PostgreSQL 18 addresses the challenges of data quality and integration in artificial intelligence, emphasizing the importance of the relationship between AI embeddings and relational data. It features pgvector, a tool that helps maintain this relationship and reduces reliance on fragile code. The accompanying resources include working schemas, implementation scripts, and a demo showcasing the system's capabilities with evidence rows and explanations from a large language model. The approach combines semantic candidate retrieval with SQL filtering and business rule enforcement, enhancing the reliability of AI outputs and ensuring data accuracy.