[2024 Best AI Paper] Text2SQL is Not Enough: Unifying AI and Databases with TAG

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This video was created using https://paperspeech.com. If you’d like to create explainer videos for your own papers, please visit the website! Title: Text2SQL is Not Enough: Unifying AI and Databases with TAG Authors: Asim Biswal, Liana Patel, Siddarth Jha, Amog Kamsetty, Shu Liu, Joseph E. Gonzalez, Carlos Guestrin, Matei Zaharia Abstract: AI systems that serve natural language questions over databases promise to unlock tremendous value. Such systems would allow users to leverage the powerful reasoning and knowledge capabilities of language models (LMs) alongside the scalable computational power of data management systems. These combined capabilities would empower users to ask arbitrary natural language questions over custom data sources. However, existing methods and benchmarks insufficiently explore this setting. Text2SQL methods focus solely on natural language questions that can be expressed in relational algebra, representing a small subset of the questions real users wish to a

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