In May 2026, OpenAI released a new math result that sent shock waves throughout the world of mathematical research. A major unsolved problem called the "unit distance conjecture" had just been ...

Data-hungry AI applications are fed complex information, and that's where graph databases and knowledge graphs play a crucial role. Over the past decade, there has been endless churn in technologies ...

Through natural language queries and graph-based RAG, TigerGraph CoPilot addresses the complex challenges of data analysis and the serious shortcomings of LLMs for business applications. Data has the ...

The Bulgarian graph database startup Graphwise today announced a major upgrade to its flagship GraphDB tool, adding new features aimed at boosting enterprise knowledge management and creating a more ...

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 ...

Kognitos, the pioneer of neurosymbolic AI for business and finance automation, today announced Kognitos AI Employees and introduced new capabilities for Kognitos Context Graphs. Together, they let ...

Credit: Image generated by VentureBeat with FLUX-pro-1.1 Without data, enterprise AI isn't going to be successful. Getting all the data in one place and having the right type of data tools, including ...