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Neo4j Context Engine: Rapidly build dependable enterprise agents

Move from fragmented data to connected intelligence, for better detection, deeper investigations, and defensible decisions.

Vector RAG vs. GraphRAG: Which retrieval do you need?

Introducing Neo4j GraphAware Financial Crime Intelligence

Independent study: GraphRAG makes AI agents 80% more truthful

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Emil Eifrem

CEO & Founder, Neo4j

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Sudhir Hasbe

Chief Product Officer, Neo4j

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Philip Rathle

Chief Technology Officer, Neo4j

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Most recent

From cafeteria cliques to graph communities: Understanding the Louvain algorithm

Fraud is detected when relationships are visible, not when transactions are viewed in isolation.

Detect fraud faster with a Transaction Graph

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GenAI
News

2025: Year of AI and scalability

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Why AI needs graph

Graph-driven AI for all: Neo4j Aura Agent enters general availability

Meet Lenny’s Memory: Building context graphs for AI agents

Developer

Boundary graph: Exploring the IPL through the lens of graphs

Agentic AI vs. generative AI: Why agents need memory, context, and guardrails

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Graph database

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