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

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.

For most fields, graphs are the most common form of visual presentation for data. Graphs exist in numerous shapes and formats, but as a rule, should only be used to present trends or relationships ...

Offering a versatile approach to data collection and analysis, knowledge graphs have a broad range of applications, from helping ensure regulatory compliance to enhancing customer experiences. But ...

Enter knowledge-graph-powered data intelligence platforms with metadata management capabilities. Google popularized the term "knowledge graph" in this 2012 blog post.

Data Retrieval: The Cypher query retrieves relevant information from the graph database. Result Translation: The retrieved data is converted back into natural language for easy interpretation.