Powered by Gensonix AI DB, Scientel ‘s LLM solution supports multiple DB nodes in a single LLM application Our ...

OpenAI’s internal AI data agent searches 600 petabytes across 70,000 datasets, saving hours per query and offering a blueprint for enterprise AI agents.

By accelerating both data services and the compute layer as one coherent system, the VAST AI OS eliminates the operational complexity of stitching together separate storage, database, and AI ...

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, ...

The ability to write parts of SQL queries in natural language will help developers speed up their work, analysts say. Google is previewing a new AI-driven feature in its BigQuery data warehouse that ...

One very common cause of Power BI performance problems is having a table with a large number of rows on your report. It’s a problem I wrote about here, and while I used an Import mode for my example ...

Community driven content discussing all aspects of software development from DevOps to design patterns. The goal of Hibernate and JPA is to hide the complexity of SQL and relational databases from the ...

Natural language interface to databases is a growing focus within artificial intelligence, particularly because it allows users to interact with structured databases using plain human language. This ...

What is Query Deserves Freshness? Query deserves freshness (QDF) is a part of Google’s algorithm that prioritizes newer content in search results when a searched topic is trending, rapidly evolving, ...