Tabular foundation models are the next major unlock for AI adoption, especially in industries sitting on massive databases of ...

The data inputs that enable modern search and recommendation systems were thought to be secure, but an algorithm developed by ...

Instructed Retriever leverages contextual memory for system-level specifications while using retrieval to access the broader ...

Discover how to test for multi-user vulnerabilities. Four real-world examples of tenant isolation, consolidated testing, and ...

Migrating from Heroku to a self-hosted Supabase instance using Coolify on Hetzner can save you significant costs and offer ...

Redbench is a flexible workload generator for database benchmarking, supporting both query matching and synthetic workload generation. It is designed to mimic real-world workloads (e.g., from Redset) ...

As SQL development increasingly becomes part of full-stack workflows, developers are looking for ways to simplify their tooling without compromising capability. While SQL Server Management Studio ...

Abstract: Generating accurate SQL from users' natural language questions (text-to-SQL) remains a long-standing challenge due to the complexities involved in user question understanding, database ...

In today’s data-driven world, databases form the backbone of modern applications—from mobile apps to enterprise systems. Understanding the different types of databases and their applications is ...

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 ...

Schema markup is a powerful tool for boosting your website’s SEO, yet many site owners overlook its potential. This comprehensive guide offers practical, real-world examples of how to effectively ...