Google popularized the term "knowledge graph" in this 2012 blog post. Since then, there has been a massive momentum around ...

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

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

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.

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 ...

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 ...

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.

Investors need a new framework for evaluating opportunities in the emerging Intelligence Economy ("Intellinomics"). Semantic ...

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 ...

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