The ability to write parts of SQL queries in natural language will help developers speed up their work, analysts say.

DB-GPT-Hub is an experimental project to implement Text-to-SQL parsing using LLMs, which mainly includes dataset collection, data pre-processing, model selection and construction, and fine-tuning ...

OpenJDK project teams will focus work on features such as value types, code reflection, AOT compilation, and structured ...

The world tried to kill Andy off but he had to stay alive to to talk about what happened with databases in 2025.

At the upcoming Visual Studio Live! Las Vegas developer conference, SQL expert Denny Cherry will share essential indexing ...

Abstract: Text-to-SQL conversion, the process of generating SQL queries from natural language input, has gained significant attention due to its potential to simplify database interaction. Although ...

The objective is to convert SQL queries to JSON-izable parse trees. This originally targeted MySQL, but has grown to include other database engines. Please paste some SQL into a new issue if it does ...

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...

Abstract: This paper introduces a Chain-of-Thought prompting framework for Text-to-SQL tasks, incorporating coverage and redundancy feedback to tackle missing or redundant query conditions. It breaks ...