SQL remains the backbone of enterprise data access. Despite the rise of dashboards, semantic layers, and AI-driven analytics, ...

Google Cloud’s lead engineer for databases discusses the challenges of integrating databases and LLMs, the tools needed to ...

Ashutosh Agarwal is a specialist who connects analytics with practical strategy, who stands out in the era of digital ...

A practical guide to the four strategies of agentic adaptation, from "plug-and-play" components to full model retraining.

Abstract: The challenge of natural language processing is from natural language to logical form (SQL). In this article, we present an fuzzy semantic to structured query language (F-SemtoSql) neural ...

mcp_ohmy_sql is a state-of-the-art SQL Model Context Protocol (MCP) server built on SQLAlchemy that provides universal database connectivity with intelligent query optimization, configurable tool ...

Abstract: The Text-to-SQL task has significant application prospects in automating relational database query interfaces. It can reduce user learning costs and improve data query efficiency. However, ...

In computational linguistics, the interface between human language and machine understanding of databases is a critical research area. The core challenge lies in enabling machines to interpret natural ...

Snowflake has recently brought Snowflake SQL Copilot to the public preview. Snowflake SQL Copilot is a generative AI-powered SQL assistant that aims to revolutionize the way users interact with ...