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

Illustration representing a context graph for AI agent memory

Agentic AI

What is a context graph?

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

Efficiently monitor Neo4j and identify problematic queries

GraphRAG Python package.

GraphRAG Python package: Accelerating GenAI with knowledge graphs

New GraphAcademy course: Building knowledge graphs with LLMs

What is supply chain management?

Supply chain & logistics

What is supply chain management? A guide to optimizing SCM

AI Ethics: What Is It and Why Should You Pay Attention?

AI ethics: What is it and why should you pay attention?

Cypher performance improvements in Neo4j 5

Detecting bank fraud with Neo4j: The power of graph databases

Turn your CSVs into graphs using LLMs

Supply chain & logistics

What are the types of supply chain management software – and how do you choose the right one?

GraphRAG – the card game

Neo4j graphs, acceleration frameworks, and recommendations: A winning trio

Vector + GraphRAG Architecture

Building a GraphRAG agent with Neo4j and Milvus