Neo4j blog

Introducing Neo4j GraphAware Financial Crime Intelligence

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

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

Scaling Karpathy’s LLM wiki: Why your knowledge base needs a graph

Independent study: GraphRAG makes AI agents 80% more truthful

Featured voices

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

Graph-grounded Copilots in Microsoft Fabric

Beyond the Banana: Driving real-time recommendations with graph-grounded Copilots in Microsoft Fabric

Rescored binary vector search in Neo4j: search more with less memory

New Ways to Scale and Apply Enterprise AI with Neo4j

Scale AI into production

What is graph visualization?

Graphs, knowledge graphs, & context graphs: Which one do you need?

Context graph diagram illustrating decision traces for AI agents

Agentic AI

What are decision traces in a context graph? How they reveal agentic reasoning

Your AI Agent Forgets Everything. So We Taught It to Remember — With a Graph.

Grounding Salesforce Agentforce with Neo4j — multi-agent setup over MCP

Cut Text2SQL token costs up to 81%, and stop paying for wrong answers: a Neo4j semantic layer across BigQuery and Databricks

Writing Cypher Queries That Don’t Lose Your Data

Doing your homework with Neo4j & AI