Neo4j Blog

From Data to Intelligence: Why Every Enterprise Needs an AI Knowledge Layer

The knowledge layer maps and resolves data so AI can accurately answer questions, make better decisions, and be explainable.

Visualization of how Neo4j Graph Intelligence reveals hidden patterns in massive datasets

How Graph Intelligence Drives Breakthroughs in Science and Society

iscover the best tool for context engineering and build agentic AI with MCP, knowledge graphs, GraphRAG, and practical evaluation and tracing.

Agentic AI

Best Tools for Context Engineering in Agentic AI Systems

The Data Strategy That Makes Truly Personalized Customer Experiences Possible

Featured Voices

Emil Eifrem

CEO & Co-Founder, Neo4j, Inc.

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Sudhir Hasbe

Chief Product Officer, Neo4j

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Philip Rathle

Chief Technology Officer, Neo4j

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AuraDB
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AWS PrivateLink and VPC Lattice Improve Cross-Account Resource Sharing for Neo4j

GraphRAG in Action: From Commercial Contracts to a Dynamic Q&A Agent

Moving to the Neo4j Query API

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NODES

The 10 Top-Rated Talks at NODES 2024

What is a database management system?

Graph Database

What Is a Database Management System?

GenAI Graph Gathering 2.0: The Evolution of GraphRAG

GenAI Graph Gathering 2.0: The Evolution of GraphRAG

Introducing the Fine-Tuned Neo4j Text2Cypher (2024) Model

Enable Cypher Language Server for Neovim

GenAI Stack Walkthrough: Behind the Scenes With Neo4j, LangChain, and Ollama in Docker

GenAI Stack Walkthrough: Behind the Scenes With Neo4j, LangChain, and Ollama in Docker

Benchmarking Using the Neo4j Text2Cypher (2024) Dataset

Developer

New GraphAcademy Course: Building Neo4j Applications With Spring Data

Introducing the Neo4j Text2Cypher (2024) Dataset