Billions of entities vanished from Google’s Knowledge Graph in June 2025. Here’s how it signals a bold new direction in AI-powered search.

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

Think of knowledge-graph-powered data catalogs as the search engine for the data in the enterprise.

Unlike traditional databases, knowledge graphs organize information as nodes and edges, making them better for AI systems that reason & infer.

The real value comes when graph databases and knowledge graphs are integrated, said Gnau. “In a multi-model platform, graph and semantic modeling capabilities work together to provide both structure ...

Learn how large language models like ChatGPT make knowledge graph creation accessible, revealing hidden connections in your data.

Available starting today, Neo4j Aura Graph Analytics is said to work with any kind of data source, including Oracle, Microsoft SQL, Databricks, Google BigQuery, Snowflake and Microsoft OneLake.