Most enterprise data lives outside databases. Here's why that's holding AI back — and how connecting context can change it.

While retrieval-augmented generation is effective for simpler queries, advanced reasoning questions require deeper connections between information that exist across documents. They require a knowledge ...

Graph database expert Marko Budiselić has some thoughts on why it's time to be more data source ecumenical. Coming from the world of graph technology, ...

Organizations have a wealth of unstructured data that most AI models can’t yet read. Preparing and contextualizing this data ...

What if your AI could not only retrieve information but also uncover the hidden relationships that make your data truly meaningful? Traditional vector-based retrieval methods, while effective for ...

As for the AI bubble, it is coming up for conversation because it is now having a material effect on the economy at large.

Harvard Medical School has unveiled MedAI, a new knowledge graph-based agent set to transform the landscape of medical question-answering. This innovative tool addresses the critical shortcomings of ...

Artificial Intelligence (AI) is transforming industries by automating tasks and generating insights, but its true effectiveness depends on high-quality, relevant data. Structured data is the most ...

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From listening to any kind of survey of what people are talking about in AI right now, we know that privacy is important. And that’s an understatement. Time and time again, we hear people talking ...