This application enables users to interact with an e-commerce SQL database using natural language queries. It leverages two specialized AI agents: SQL Agent: Converts natural language questions into ...

Abstract: Querying data managed by database systems has been one of the most challenging tasks for database users. To bridge this gap, numerous interfaces have been developed with very different ...

Built-in functions, UDFs, materialized results, and integrations with ML and AI models make streaming SQL a compelling choice when building microservices. “It is tempting, if the only tool you have is ...

If old sci-fi shows are anything to go by, we're all using our computers wrong. We're still typing with our fingers, like cave people, instead of talking out loud the way the future was supposed to be ...

Every data engineering team right now is being asked the same question: "How do we build a chatbot that talks to our data?" The prototypes are deceptively simple. A developer connects GPT-5.1 to a ...

A team of AI researchers at Bloomberg have developed PExA, an agentic framework that achieved 70.2% execution accuracy, sharing one of the top positions on the Spider 2.0 (Snow) leaderboard, one of ...

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 ...

Welcome to the official repository for the paper "Alpha-SQL: Zero-Shot Text-to-SQL using Monte Carlo Tree Search" presented at ICML 2025. This project aims to bridge the gap between natural language ...

While data warehouses and cloud-native architectures have grown rapidly, business users are still finding it difficult to reach enterprise data. Even as dashboards and query tools become easier to use ...