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 ...

My suspicion is that the next major enterprise AI breakthrough will have the same characteristic. Not simple to build. Simple ...

Use these official MCP servers to interact with the leading database platforms via natural language through your LLM-assisted ...

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.

The Financial Industry Regulatory Authority is launching a review of how firms handle higher-risk structured products, including “worst-of” structured notes that can threaten principal investments.

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 ...

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 ...

Large-language models (LLMs) have taken the world by storm, but they’re only one type of underlying AI model. An under-the-radar company, Fundamental, is set to bring a new type of enterprise AI model ...

Have you ever felt like importing data into Excel is more complicated than it needs to be? Below My Online Training Hub walks through how Microsoft’s latest Excel functions, `IMPORTCSV` and ...

Abstract: The Text-to-SQL task is to convert natural language queries into Structured Query Language (SQL) to achieve a natural language interface for database queries. The current research on Text-to ...