Neo4j

Neo4j.

The leading graph database for modelling relationships and networks. Ideal for knowledge graphs, recommendations, and fraud detection.

By Neo4j

What is Neo4j?

Neo4j is the leading graph database that stores data as nodes and relationships instead of tables and rows. This makes it ideal for modelling complex networks, knowledge graphs, and relationships. Neo4j is used for recommendation systems, fraud detection, knowledge management, and any application where relationships are central.

How Motran uses Neo4j.

Motran builds knowledge graphs on Neo4j that serve as the foundation for advanced RAG systems and recommendation engines. We model business data as a network of connected entities, enabling AI models to leverage not just documents but also relationships between concepts. This delivers richer, more contextual AI answers.

How Neo4j adds value.

Knowledge graphs for RAG

Knowledge graphs for RAG: business knowledge is modelled as a network of connected concepts, enabling AI to leverage deeper context.

Network and relationship analysis

Network and relationship analysis: complex relationships between customers, products, and transactions are visualised and analysed.

Recommendation systems

Recommendation systems: products and content are recommended based on relationship networks in the graph database.

Sector benefits.

Neo4j is crucial for the financial sector in fraud detection by analysing transaction networks, the retail sector for powerful recommendation systems based on customer and product relationships, and healthcare for modelling complex medical knowledge graphs linking symptoms, diagnoses, and treatments.

Frequently asked questions.

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