Google's new Graph Foundation Model delivers up to 40 times greater precision and has been tested at scale on spam detection.

Finally, it provides a way to integrate data from different sources, including structured and unstructured data. Below is a 4 step approach. Let’s review each step in detail.

TL;DR Key Takeaways : GraphRAG uses knowledge graphs instead of traditional vector databases, allowing deeper insights and relationships within datasets through structured data representation.

Google Search now supports what is called supports syntax graph merge. Essentially this means different syntaxes of structured data can now connect together as one. Google has updated validator ...

Explore the role of content knowledge graphs in enhancing your marketing strategy and improving information retrieval with structured data. Martha van Berkel January 16, 2025 ...

The Bulgarian graph database startup Graphwise today announced a major upgrade to its flagship GraphDB tool, adding new features aimed at boosting enterprise knowledge management and creating a more ...

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.

Knowledge Graphs: Structured data exhibits a synergy with knowledge graphs, enhancing AI's ability to interpret context and provide more accurate and relevant responses.

Overall, the data they collected suggests that associations between visual stimuli and motor actions are represented as mental graphs, which can be retrieved to guide future actions, even under ...