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 ...

LLMs and agents are reshaping how consumers research and buy. Most companies aren’t ready. by Oguz A. Acar and David A. Schweidel In 2024 Gokcen Karaca, the head of digital and design at Pernod Ricard ...

text-to-sql/ ├── app/ # 原有应用模块 │ ├── main.py # FastAPI 主入口 │ ├── config.py # 配置管理 │ ├── models/ # 数据模型 │ ├── core/ # 核心功能 │ │ ├── schema_retriever.py # Schema 检索 │ │ ├── prompt_builder.py # Prompt 构建 ...

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 ...

Abstract: This work investigates the application of Text-to-SQL techniques to improve access to industrial maintenance data using Large Language Models (LLMs) in Portuguese. We design and implement a ...

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 ...

Discover how Tinker and Ray are utilized to fine-tune text-to-SQL models, enhancing AI capabilities in generating efficient SQL queries. In an innovative approach to advancing text-to-SQL models, ...