This is the official repository for the paper "E-SQL: Direct Schema Linking via Question Enrichment in Text-to-SQL". Translating natural language queries into SQL (Text-to-SQL) is a critical task for ...

In most enterprises, data access still feels like a locked room with SQL as the only key. Business teams depend on data engineers for every report, dashboard, or metric tweak. Even in the age of ...

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. I ...

An interactive DataOps assistant using an LLM-powered agent architecture to automate data profiling, cleaning, feature engineering, and natural language-based querying & visualization. SQL Natural ...

As the integration of Large Language Models (LLMs) into scientific R&D accelerates, the associated privacy risks become increasingly critical. Scientific NoSQL repositories, which often store ...

In this Microsoft SQL Server and JDBC tutorial, you'll learn how to connect to a Microsoft SQL Server in Java using JDBC. The steps are relatively straightforward: Each database is different, so ...

AtScale, a leader in semantic layer technology, has launched an open, public leaderboard for Text-to-SQL (T2SQL) solutions, addressing a critical need for transparency and standardization in ...

Artificial intelligence (AI) and database management systems have increasingly converged, with significant potential to improve how users interact with large datasets. Recent advancements aim to allow ...

Abstract: Methods for converting natural language into structured query statements (Natural Language to SQL, NL2SQL) often focus solely on linguistic aspects and table content, neglecting crucial data ...

Every day, businesses depend on data to operate. Customer orders, quotes for new business, conversations around products, campaigns for marketing—pretty much every business process today is based on ...

Even if generative AI hides SQL behind the curtain, it will continue to play a critical role in how we interact with and use data. In May 1974, Donald Chamberlin and Raymond Boyce published a paper on ...