Abstract: The Text-to-SQL task has significant application prospects in automating relational database query interfaces. It can reduce user learning costs and improve data query efficiency. However, ...

In a modern enterprise data environment, the increasing volume of data, distributed architecture, and complex application dependencies challenge traditional query-tuning methods. Observability ...

Google is turning its vast public data trove into a goldmine for AI with the debut of the Data Commons Model Context Protocol (MCP) Server — enabling developers, data scientists, and AI agents to ...

Google’s Robby Stein shares new details about the query fan-out technique in AI Mode, explaining how Google generates and executes its own queries. Google’s query fan-out technique issues multiple ...

ChatGPT receives 2.5 billion prompts from global users every day, OpenAI told Axios. About 330 million of those are coming from users in the U.S. These numbers show just how ubiquitous OpenAI’s ...

As developers look to harness the power of AI in their applications, one of the most exciting advancements is the ability to enrich existing databases with semantic understanding through vector search ...

What is the default strategy for planning and optimizing queries with joins: How does the engine decide the physical join type (e.g., sort-merge join vs. hash join)? How is the join order determined?

A Model Context Protocol (MCP) server that provides read-only MySQL database queries for AI assistants. Execute queries, explore database structures, and investigate your data directly from your ...

The Automatic Tuner in the NVIDIA app finds the best overclock settings for the GPU and maintains that performance regularly. The Automatic Tuning feature is not ...

Artificial Intelligence (AI) and Machine Learning (ML) are increasingly integral to database management, driving new levels of automation and intelligence in how data systems are administered. Modern ...