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 ...

The Knowledge Graph was built to help with that mission. It contains information about entities and their relationships to one another — meaning that Google is increasingly able to recognize a ...

Semantic search in practice The engineering chief used the example of 'Taj Mahal' to explain what the Knowledge Graph does. Pointing out that the term could apply to the monument, a musician, an ...

The second step in generating a knowledge graph involves building a text prompt for LLM to generate a schema and database for the ontology. The text prompt is a natural language description of the ...

Google’s Knowledge Graph is a little smarter today with the addition of filters and a way to compare two Knowledge Graph items side-by-side. These are some of the Google search updates that the ...

Knowledge graphs also allow you to create structures for the relationships in the graph. You can tell a graph that parents have children and parents can be children and children can be brothers or ...

The difference is that, in Diffbot's case, the knowledge graph is only partially curated by humans, and is automatically populated by crawling the web. ZDNet talked to Mike Tung, Diffbot's CEO and ...

When to choose Knowledge Graphs vs. Vector DBs Specific use cases where Vector DBs excel are in RAG systems designed to assist customer service representatives.