Combining knowledge graphs with retrieval-augmented generation can improve the accuracy of your generative AI application, and generally can be done using your existing database.

This is something that fledgling Danish startup Subsets is setting out to help companies achieve, with an AI-enabled platform designed to “bridge the retention gap in the subscription industry ...

Build AI into your enterprise content and knowledge management platform with 5 APIs that help you base your AI on enterprise ...

Step up Rajeev, an AI pioneer who’s cracking these codes wide open. His latest work, like the LLM-Powered Knowledge Graph for Enterprise Intelligence and Analytics, melds knowledge graphs with ...

Knowledge graphs serve as the system of intelligence layer to build smarter, more accurate and grounded agents, turning data into actions that drive business outcomes in agentic AI workflows.

Unlike conventional AI models, which rely solely on vast amounts of preloaded training data, Diffbot’s LLM draws on real-time information from the company’s Knowledge Graph, a constantly ...

Neo4j, which commands 44% of the graph database market (per a Cupole Consulting Group report) and counts 84% of the Fortune 100 as customers, including IBM and Walmart, plans to add even more AI ...

Hossein Rahnama, a Canadian computer science professor who is spending time at MIT, is building AI graphs, or "chronicles," that users can own and access.