Chinese and Singaporean researchers have developed a defense mechanism that poisons proprietary knowledge graph data, making ...

RAG, on the other hand, exists because many real questions depend on current, specific, or proprietary data (such as company ...

For hackers, the stolen data would be useless, but authorized users would have a secret key that filters out the fake ...

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 ...

“Trust comes from being able to check the answer and the path that produced it,” said Daniel Escott, Chief Executive Officer at Formic AI. “Boreal gives teams a clear link back to source documents and ...

In the age when data is everything to a business, managers and analysts alike are looking to emerging forms of databases to paint a clear picture of how data is delivering to their businesses. The ...

At a time when every enterprise looks to leverage generative artificial intelligence, data sites are turning their attention to graph databases and knowledge graphs. The global graph database market ...

Knowledge graphs are a powerful tool for bringing together information from biological databases and linking what is already ...

The increasing reliance on knowledge graphs parallels that of Artificial Intelligence for three irrefutable reasons. They’re the most effective means of preparing data for statistical AI, creditable ...

The graph database market, driven by AI, is growing at a rate of almost 25% annually. Graph databases support knowledge graphs, providing visual guidance for AI development. There are multiple ...

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 ...