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.

Agent Memory

A Knowledge Layer For Your Agentic Systems on Google Cloud

The Data Strategy That Makes Truly Personalized Customer Experiences Possible

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

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

Getting Started With the Neo4j GraphRAG Python Package

Integrating unstructured.io with Neo4j AuraDB to Build a Document Knowledge Graph

Developer

Creating a Graph of Chemical Reactions

Introducing Your New Cypher Co-Pilot

The GraphRAG Manifesto.

The GraphRAG Manifesto: Adding Knowledge to GenAI

IDJC election graph.

News

How Election Researchers Use Graph Technology to Fight Disinformation

Implementing ‘From Local to Global’ GraphRAG With Neo4j and LangChain: Constructing the Graph

Developer

Graph App Restrictions on Neo4j Desktop 1.6.0

GraphRAG in (Almost) Pure Cypher

Mix and Batch: A Technique for Fast, Parallel Relationship Loading in Neo4j

Graph Exploration By All MEANS With mongo2neo4j and SemSpect

How GenAI Provides Deep Understanding With Knowledge Graphs