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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Most Recent

A constellation of Orion represented as a graph with nodes and relationships.

GenAI

Advanced RAG Techniques for High-Performance LLM Applications

Graph Database

Neo4j Launches Breakthrough Architecture to Unify Transactional and Operational Workloads

Graph Analytics Applications and Use Cases

Simplify Modern Application Development With GraphQL on Neo4j AuraDB

LLM Knowledge Graph Builder Back-End Architecture and API Overview

GraphRAG and Agentic Architecture: Practical Experimentation with Neo4j and NeoConverse

LLM Knowledge Graph Builder Front-End Architecture

Developer

New GraphAcademy Course: Building Neo4j Applications With Spring Data

GenAI Starter Kit: Everything You Need to Build an Application with Spring AI in Java

Building RAG Applications With the Neo4j GenAI Stack: A Comprehensive Guide

Building RAG Applications With the Neo4j GenAI Stack: A Comprehensive Guide

Graph Data Models for RAG Applications

GraphQL

New Book: Full Stack GraphQL Applications (Download for Free!)