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NL2KQL: From Natural Language to Kusto Query
April 5, 2024, 4:47 a.m. | Amir H. Abdi, Xinye Tang, Jeremias Eichelbaum, Mahan Das, Alex Klein, Nihal Irmak Pakis, William Blum, Daniel L Mace, Tanvi Raja, Namrata Padmanabhan,
cs.CL updates on arXiv.org arxiv.org
Abstract: Data is growing rapidly in volume and complexity. Proficiency in database query languages is pivotal for crafting effective queries. As coding assistants become more prevalent, there is significant opportunity to enhance database query languages. The Kusto Query Language (KQL) is a widely used query language for large semi-structured data such as logs, telemetries, and time-series for big data analytics platforms. This paper introduces NL2KQL an innovative framework that uses large language models (LLMs) to convert …
abstract arxiv assistants become coding complexity cs.ai cs.cl cs.db data database language languages natural natural language pivotal queries query query language type
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