The past years have been marked by several breakthrough results in the domain of generative AI, culminating in the rise of tools like ChatGPT, able to solve a variety of language-related tasks without specialized training. In this talk, I discuss several recent research projects at Cornell, exploiting large language models to enhance relational database management systems. These projects cover applications of language models in the database interface, enabling users to specify high-level analysis goals for fully automated end-to-end analysis, as well as applications in the backend, using language models to extract useful information for data profiling and database tuning from text documents.