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 ...

HOUSTON, Jan 26 (Reuters) - Trading houses have begun making preparations to load and export Venezuelan liquefied petroleum gas (LPG) as part of a 50-million-barrel oil supply deal between Caracas and ...

More than 100 documents detailing texts, emails, and even diary entries from some of the world's most powerful tech executives were unsealed on Tuesday as part of Elon Musk's lawsuit against OpenAI ...

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 ...

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 ...

In the traditional cascade modeling approach, automatic speech recognition (ASR) first produces a single text string, which is then passed to retrieval. Small transcription errors can change query ...

DBeaver allows you to export query results or tables. This guide explains the export process using CSV as an example. For details on supported formats, see Data Transfer. Note: Each format may have ...

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 ...

Learning complex, detailed, and evolving knowledge is a challenge in multiple technical professions. Relevant source knowledge is contained within many large documents and information sources with ...

Handling questions that involve both natural language and structured tables has become an essential task in building more intelligent and useful AI systems. These systems are often expected to process ...