To keep an SLM relevant and accurate, you still need to feed it fresh, contextual data. That’s where graph technology comes ...

Unlock the power of modern database systems with Professor Jiaheng Lu’s new summer course on Multi-Model Databases! This course is designed to equip you with cutting-edge skills to manage and analyze ...

In this exploration of GraphRAG, the IBM Technology team explain how it uses the structured nature of graph databases to provide context-rich insights and unparalleled depth in data retrieval.

Siva Prasad Nandi, a researcher in cloud-native technologies, explores the rise of serverless databases. This article highlights how innovations in architecture and automation are reshaping data ...

Often, “people confuse graph databases and knowledge graphs, but they’re complementary, not interchangeable,” noted Biswas. “A graph database is like a car’s engine—it stores and processes data ...

Wikidata has built the semantic web backbone supporting knowledge cards in popular engines. Now, it's extending this foundation using a vector database to enhance its existing knowledge graph and ...

Organisations repeatedly find that a knowledge graph is the best data model to sit alongside a domain-trained SLM, acting as its constant tutor and interpreter.

Artificial Intelligence (AI) and Machine Learning (ML) are increasingly integral to database management, driving new levels of automation and intelligence in how data systems are administered ...

TigerGraph Inc. is upgrading its graph database with a hybrid search capability designed to power artificial intelligence applications. The Redwood City, California-based startup debuted the ...

Valkyrie makes history by launching the first-ever knowledge graph on the moon aboard Intuitive Machine’s IM-2 Mission from Kennedy Space Center.