Researchers at Stanford Introduce SUQL: A Formal Query Language for Integrating Structured and Unstructured Data

Large Language Models (LLMs) have gained traction for their exceptional performance in various tasks. Recent research aims to enhance their factuality by integrating external resources, including structured data and free text. However, numerous data sources, such as patient records and financial databases, contain a mix of both types of information.  “Can you find me an Italian restaurant with a romantic atmosphere?”, an agent needs to combine the structured attribute cuisines and the free-text attribute reviews. Previous chat systems typically employ classifiers to direct queries to specialized modules for handling structured data, unstructured data, or chitchat. However, this method falls short