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

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

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

AWS S3 Annotations allow up to 1 GB of structured metadata per object. This simplifies data management and AI workflows.

And once it appears, much of today’s enterprise AI landscape will start to look transitional. I’ve spent the last several ...

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.

In the split second it takes for a card payment to clear, a fintech database may execute thousands of database operations supporting payment authorization, fraud checks, and balance updates. In ...

The vector database category is undergoing a shift in response to the needs of agentic AI. The retrieval-augmented generation (RAG)-to-vector database pipeline doesn't cut it anymore; agentic AI ...

Abstract: Web application security breaches frequently involve exploiting structured query language (SQL) injection vulnerabilities introduced by weaknesses in the coding style. Software engineers ...

Large language models (LLMs) have fundamentally changed what it means to be found online. These systems do not read content the way a person does, nor do they rank pages the way traditional search ...