Neo4j

Neo4j is a graph database and graph intelligence platform, available as fully managed AuraDB or as a self-managed graph database, with graph data science, knowledge graph tooling and agent building alongside it.

GraphRAG is the capability Neo4j leads with now and the supporting evidence is unusually specific: independent research cited on its homepage finds that GraphRAG makes AI agents 80 percent more truthful. The mechanism is worth understanding. Ordinary retrieval augmented generation finds text passages that resemble a question and hands them to a model, which works until the answer requires connecting facts that never appear in the same passage. A knowledge graph holds those connections explicitly, so the relationship is retrieved rather than inferred.

Graphs suit particular problems rather than being a general replacement, and Neo4j's use case list reflects that honestly: fraud detection, identity and access management, supply chain, network and information technology topology, real-time recommendations and compliance. Each is a question about how things connect rather than about individual records, and expressing those in relational joins gets expensive quickly as the number of hops grows.

The product range covers AuraDB for managed storage and query, Virtual Graph for creating a knowledge graph over existing data without moving it, Aura Graph Analytics for running algorithms on any data in any cloud, and Aura Agent for context-aware agents, plus Graph Data Science, Enterprise Studio and Fleet Manager for self-managed estates. AuraDB Free costs nothing with no payment method required, and AuraDB Professional is 65 dollars per gigabyte per month with a one gigabyte minimum, or 0.09 dollars an hour for the smallest instance.