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 ...

In the realm of Artificial Intelligence (AI), knowledge graphs stand as a crucial innovation, particularly influential in areas like machine learning and natural language processing (NLP). These ...

The concept of knowledge graphs arose from scientific advances in a variety of research fields, including the semantic web, databases, natural language processing, and machine learning. According to ...

Ever since large language models (LLMs) exploded onto the scene, executives have felt the urgency to apply them enterprise-wide. Successful use cases such as expedited insurance claims, enhanced ...

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 ...

We have had a "data fetish" with artificial intelligence (AI) for over 20 years—so long that many have forgotten our AI history. Our saturated mindset states that all AI must start with data, yet back ...

Right now, there is a great deal of excitement about Generative AI (Artificial Intelligence) especially Large Language Models (LLMs). The initial hype surrounding ChatGPT is arguably waning, but it is ...

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