Neo4j's Bryan Evans talks about the company's fraud detection strategy, based on a database of knowledge graphs, at AWS Financial Services Symposium.

NASA has been using graph database technology from Neo4j to help with cataloguing and making sense of the mountain of engineering knowledge data that space agency has collected over the last 60 years.

While graph databases and large language models (LLMs) live at separate ends of the data spectrum, they bear some similarity to each other in terms of how humans interact with them and use them as ...

Knowledge graphs are driving industry disruption and business transformation by bringing together previously disparate data, using connections for decision support, and adding context to AI ...

Once in a knowledge graph, users extract insights leveraging Neo4j data visualization and query tools like Bloom or use Neo4j connector with Power BI for business intelligence (BI).

Developers can implement Azure Data Factory to ingest data from OneLake into Neo4j, extract data from Synapse Data Warehouse using the Neo4j data warehouse connector, run Graph Data Science algorithms ...

Neo4j, the world’s leading graph database and analytics company, announced that it has surpassed US$200 million in annual recurring revenue (ARR), doubling its ARR over the past three years. The ...

By combining ontology and large language model-driven techniques, engineers can build a knowledge graph that is easily queried and updatable.