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

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

As industrial data grows in complexity and scale, traditional methods of managing information, focused on storage and basic ...

Knowledge graphs: The link between data and meaning While Google popularized the term “knowledge graph” in 2012, the concept of representing knowledge as interconnected information has roots ...

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 ...

It involves understanding metadata knowledge graphs and how different layers of the modern data stack come together. If one wants to do anything with data, they need a stack of tools to get it done.

Knowledge Graphs, by contrast, represent data as a network of nodes (entities) and edges (relationships). They can handle more complex, nuanced queries based on the types of connections, the ...