To stay visible in AI search, your content must be machine-readable. Schema markup and knowledge graphs help you define what ...

Google popularized the term "knowledge graph" in this 2012 blog post. Since then, there has been a massive momentum around ...

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

Many people have never heard of Wikidata, yet it’s a thriving knowledge graph that powers enterprise IT projects, AI ...

Knowledge graph technology is transforming the way that organizations manage and make sense of data: A Unified View: By integrating data from multiple sources, knowledge graphs eliminate data ...

The journey from unstructured data (texts, images, etc.) to a fully structured knowledge graph—rich in facts, logical constraints, and recursive rules—is complex and challenging, but the ...

An essential component for building more trustworthy AI lies in creating a more solid data foundation on top of graph databases, knowledge graphs, and vector databases. Each element plays a ...

To help evolve the search engine’s technology, Google engineers have spent the past several years creating a Knowledge Graph database of more than 500 million people, places and things as well as more ...

One of the best-known graph databases is Neo4j, which recently announced support for the enterprise version of its cloud-hosted service, Aura, on Azure. Available in the Azure Marketplace, it’s ...

AUSTIN, Texas, February 19, 2025--Valkyrie makes history by launching the first-ever knowledge graph on the moon aboard Intuitive Machine’s IM-2 Mission from Kennedy Space Center.