用AI让普通人也能轻松操作数据库，自动理解自然语言并生成查询。
An advanced AI driven database system
- 通过自然语言接口和LLM自动生成SQL、JSON等结构化数据格式。
- 支持自动建模、查询理解与性能优化，减少人工干预。
- 适合非技术人员快速上手，降低出错率与学习成本。
当前数据库系统虽有效，但在复杂性与易用性方面存在严重问题，尤其对不熟悉SQL等查询语言的非技术人员而言。本文提出一种由人工智能驱动的新数据库系统，利用自然语言处理（NLP）构建直观交互界面，实现结构化查询与半结构化数据格式（如YAML、JSON、API文档）的自动生成。系统整合大语言模型（LLM）与先进机器学习算法，旨在自动化数据建模、模式创建、查询理解与性能优化等基础任务。该系统致力于解决现有数据库技术的核心痛点，减少对技术技能的需求、手动调优的必要性及人为错误风险。通过生成式模式推断与格式选择，实现高效的数据架构与执行格式构建。
原文摘要 · Abstract (English)
Contemporary database systems, while effective, suffer severe issues related to complexity and usability, especially among individuals who lack technical expertise but are unfamiliar with query languages like Structured Query Language (SQL). This paper presents a new database system supported by Artificial Intelligence (AI), which is intended to improve the management of data using natural language processing (NLP) - based intuitive interfaces, and automatic creation of structured queries and semi-structured data formats like yet another markup language (YAML), java script object notation (JSON), and application program interface (API) documentation. The system is intended to strengthen the potential of databases through the integration of Large Language Models (LLMs) and advanced machine learning algorithms. The integration is purposed to allow the automation of fundamental tasks such as data modeling, schema creation, query comprehension, and performance optimization. We present in this paper a system that aims to alleviate the main problems with current database technologies. It is meant to reduce the need for technical skills, manual tuning for better performance, and the potential for human error. The AI database employs generative schema inference and format selection to build its schema models and execution formats.
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