Query Language

Query languages aim to bridge the gap between human-understandable natural language and the formal languages used to interact with databases and machine learning systems. Current research focuses on improving the accuracy and efficiency of translating natural language queries into structured query languages like SQL and KQL, often leveraging large language models (LLMs) and incorporating schema information to resolve ambiguity and handle complex queries. This work is crucial for democratizing access to data and machine learning tools, empowering scientists and non-experts to effectively analyze and utilize increasingly complex datasets.