Why Text2SQL Alone Isn’t Enough: Embracing TAG

Table-augmented generation (TAG), developed by Stanford and Berkeley researchers, addresses limitations of existing database querying methods. It combines AI reasoning with database computational power to handle complex queries involving multiple data sources and types. The LOTUS framework powers TAG by integrating language models into database query processing, enabling semantic operators and optimized execution for more sophisticated data analysis.