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

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?

Welcome, GraphAware

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

How to convert unstructured text to knowledge graphs using LLMs

GenAI

How to build a GenAI chatbot from technical documents using Neo4j and Unstructured.io

Exploring Neo4j Spatial: Layer management, spatial filtering, and intersection

GraphTalk Pharma & Life Sciences 2025—a recap

Exploring Neo4j Spatial: Installation, data loading, and simple querying

Government

The most powerful fraud prevention tool for federal agencies: Graph technology

Mastering fraud detection with temporal graph modeling

Graph database

What is a graph database?

I would walk 500 miles

News

Neo4j named a 2025 Gartner® Peer Insights™ Customers’ Choice for cloud database management systems

Diagram of the enterprise graphs: Employee, Network & Security, Supplier, Product, Process, Transaction, Customer

Model your data like your business for better insights

Text2Cypher across languages: Evaluating foundational models beyond English