Data-hungry AI applications are fed complex information, and that's where graph databases and knowledge graphs play a crucial role.

New techniques make graph databases a powerful tool for grounding large language models in private data.

As data complexity continues to grow and the demand for real-time insights increases, the move away from traditional relational databases and towards the adoption of graph databases will become vital.

The emergence of generative AI is fueling new demand for graph databases, which previously were used in somewhat niche applications like fraud detection. That’s good news for Neo4j, which holds the ...

Graph database company Neo4j Inc. said today it’s embarking on a multiyear strategic collaboration with the cloud computing giant Amazon Web Services Inc. to enable enterprises to enhance the ...

The appetite for connected data is fueling a shift from traditional relational databases to interconnected graph-based models.

Graph databases are gaining attention as enterprises work on their next-generation artificial intelligence (AI) applications. While still a bit of an outlier, graph-oriented databases continue to ...

Through natural language queries and graph-based RAG, TigerGraph CoPilot addresses the complex challenges of data analysis and the serious shortcomings of LLMs for business applications.

Neo4j, the graph database and analytics leader, is announcing a partnership with Snowflake that brings Neo4j's fully integrated, native graph data science solution to the Snowflake AI Data Cloud. This ...

TigerGraph, provider of an ML and AI graph analytics platform, is releasing TigerGraph graph database v 3.9.3, introducing extended support for workload management, Kubernetes, and OpenCypher.

And while Spanner can handle a massive volume of data, vector and graph databases are a necessity to bring enterprise data into GenAI applications and enrich existing foundation models.

Neo4j Inc., maker of the most widely used graph database, today is releasing version 5 of its core engine to general availability, boasting major performance and scalability improvements. Graph ...