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

The intersection of large language models and graph databases is one that’s rich with possibilities. The folks at property graph database maker Neo4j today took a first step in realizing those ...

The addition of vectors provides context to the graph database for enhanced search and supports generative AI and large language models.

With the rapid development of artificial intelligence (AI) technology, the graph database market is experiencing unprecedented growth, with an annual growth rate approaching 25%. Graph databases are ...

A graph database is a type of database designed according to a graph, network, or link-based structure rather than traditional rows and columns. Its data is organized into interconnected nodes and ...

Although databases that focus on the relational aspect of data analytics abound, few are as effective at revealing the hidden valuable insights as a graph database.

With today’s updates to its managed graph database for the cloud, Neo4j AuraDB, the San Mateo, California-based company is working to make it easier for users to get started with its graph database.

The rise of graph databases is closely related to AI's demand for data processing. AI technology requires vast amounts of structured and unstructured data, which must not only be input into ...

New York, United States, Aug. 22, 2024 (GLOBE NEWSWIRE) -- As per the Latest Report by Straits Research, The global graph database market size was valued at USD 2.33 billion in 2023. It is ...

Graph database startup TigerGraph Inc. today announced a major update to its flagship cloud platform with the Savanna release, bringing with it six times faster network deployments and dozens of ...