Why write SQL queries when you can get an LLM to write the code for you? Query NFL data using querychat, a new chatbot ...

Significant advancements in semantic parsing for text-to-SQL (T2S) tasks have been achieved through the employment of neural network models, such as LSTM, BERT, and T5. The exceptional performance of ...

Introduction We present an automatic and scalable text-to-SQL data synthesis framework, illustrated below: Based on this framework, we introduce the first million-scale text-to-SQL dataset, ...

SeaQuery is a query builder to help you construct dynamic SQL queries in Rust. You can construct expressions, queries and schema as abstract syntax trees using an ergonomic API. We support MySQL, ...

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A new SQL Server 2025 feature lets organizations run vector-based semantic searches on their own data, connecting to local or cloud-hosted AI models without relying on massive general-purpose LLMs.

EVOLVE provides a thorough exploration of the methodology and strategic approach employed in appraising text-to-sql for enterprise-scale applications. It delves into our unique tactics, evaluative ...