在企业数字化转型的浪潮中，我们发现很多公司依然面临着“数据深渊”：业务人员想看数据，却受限于复杂的 SQL 语法；开发者虽然尝试了 Text-to-SQL，但生成的代码逻辑常有偏差，同时也无法应对复杂的统计分析、根因定位等场景。 DataAgent 应运而生。 这不是 ...

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 ...

Data lakehouse company Dremio Corp. is jumping on the generative artificial intelligence bandwagon, launching a new Text-to-SQL capability today and announcing additional features to come later. The ...

针对大语言模型（LLMs）在Text-to-SQL任务中的模型幻觉、错误传播及验证冗余问题，提出G2SQL框架，通过学习驱动的SQL计划反馈循环和审阅者-观察者机制，分阶段优化SQL生成与验证过程，确保安全性与效率。实验表明其执行准确率在BIRD数据集开发集达73.16%，Spider ...

SANTA CLARA, Calif.--(BUSINESS WIRE)--Dremio, the easy and open data lakehouse, today announced the integration of cutting-edge generative AI capabilities into its platform. Text-to-SQL is now ...

The purpose of the Text-to-SQL task is to bridge the gap between natural language and SQL queries. Current approaches mainly rely on large language models (LLMs), but employing them for Text-to-SQL ...

AI has transformed the way companies work and interact with data. A few years ago, teams had to write SQL queries and code to extract useful information from large swathes of data. Today, all they ...

DataHub's Context Intelligence mines validated SQL query history to build a semantic index for AI agents. At Miro, agents hit ...

JSON has stolen some of XML's thunder with features such as human and machine readability, a lightweight, compact text structure and support for many software and hardware platforms. JSON (JavaScript ...