One of the greatest weaknesses of AI agents that read and understand vast amounts of enterprise data is "hallucination"—the generation of plausible-sounding but factually incorrect information. KAIST ...

Jeongho Park, engineer at GraphAI and second author; Donghyoung Han, CTO of GraphAI and third author; Geonho Lee ...

Artificial Intelligence (AI) agents based on Retrieval-Augmented Generation (RAG) technology are rapidly proliferating. RAG ...

One of the greatest weaknesses of AI agents that read and understand vast amounts of enterprise data is "hallucination" — the generation of ...

Databricks enhances its AI platform with the AI agent Genie One, which is intended to make company data usable thanks to the ...

Spread the love“`html Creating insightful reports is crucial for data-driven decision-making in today’s business landscape. Power BI, Microsoft’s powerful business analytics tool, enables users to ...

In the realm of data management, MySQL stands out as one of the most popular relational database management systems (RDBMS) worldwide. Whether you’re a budding developer, a seasoned programmer, or a ...

DataHub's Context Intelligence mines validated SQL query history to build a semantic index for AI agents. At Miro, agents hit a 65% error rate without it.

SQL developers manage structured databases that power payments, healthcare, retail, and cloud systems. Cloud platforms increase demand for SQL skills, including scaling, backup systems, and security ...

Community driven content discussing all aspects of software development from DevOps to design patterns. To become a certified software developer, you don’t need a diploma, degree or even a ...

Abstract: This paper introduces G-SQL, a schema-aware and rule-guided framework for translating Natural Language Queries (NLQ) into SQL, designed to support users with limited technical expertise.