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 ha ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Agent workflows make transport a first-order ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Agent workflows make transport a first-order ...

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 ...

We have seen how to read data from a file, either in unstructured text or CSV format, and how to write data in these formats. We’ve also seen how to read and write JSON. In this chapter we’ll see how ...

Google has released the MCP Toolbox for Databases, a new open-source module under its GenAI Toolbox aimed at simplifying the integration of SQL databases into AI agents. The release is part of ...

Abstract: How to effectively diagnose and mitigate database performance anomalies remains a significant concern for modern database systems. Manually identifying the root causes of the anomalies is a ...

Despite its steep licensing costs, SQL Server continues to prove its worth over open-source alternatives in some key areas. SQL Server is an expensive part of your IT stack -- SQL Server Enterprise ...

This tutorial will guide you through the process of using SQL databases with Python, focusing on MySQL as the database management system. You will learn how to set up your environment, connect to a ...

Learn how to use vector databases for AI SEO and enhance your content strategy. Find the closest semantic similarity for your target query with efficient vector embeddings. A vector database is a ...