Neo4j blog

Agentic AI

The knowledge layer for enterprise AI

A manifesto for context-rich enterprise AI

Chart of the knowledge layer comprising ontologies, data, and memory

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

Independent study: GraphRAG makes AI agents 80% more truthful

Context graph diagram illustrating decision traces for AI agents

Agentic AI

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

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

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A year when relationships mattered

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Developer

How to build a JSON RESTful API with Neo4j, PHP, and OpenAPI

Graph Data Science: The secret to accelerating innovation with AI/ML

GeneWeaver: Building a graph to map variants to genes using Neo4j 4.x and bulk import

Monitoring the cryptocurrency space with NLP and knowledge graphs

Developer

Discover AuraDB Free: week 16 – the CSV data importer tool

Emil Eifrem

Category creation: Emil Eifrem’s virtuous cycle & four tips for success

News

Neo4j in the news – winter edition: Neo4j growth, big data, and cybercrime

Doctor.ai, a voice chatbot for healthcare, powered by Neo4j and AWS

Jim Webber with Dr. Edgar Osuna: Using graphs to take down fraudsters

Smarter artificial intelligence with Neo4j and Google Cloud Vertex AI

Use graphs for smarter AI with Neo4j and Google Cloud Vertex AI