Neo4j blog

Welcome, GraphAware

Neo4j is acquiring GraphAware, our longtime partner and a leading provider of intelligence analysis software for government agencies.

New research finds enterprises earn 230% ROI with Neo4j Graph Intelligence Platform

Context graphs: Why AI agents need three types of memory

What is AI-ready data? How a knowledge layer gets you there

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

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

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Advanced RAG techniques for high-performance LLM applications

Solve hard graph problems with Cypher 25

Find similar patient journeys with Neo4j Aura graph analytics

Analyze graphs directly in Snowflake — The wait is over

How a $28 part can bring down a $5M machine—and how GenAI stops it

Production-proofing your Neo4j Cypher MCP server

Going meta: Two years of knowledge graphs

Explore iterative refinement for Text2Cypher

Verify Neo4j Cypher queries with CyVer

Managing risk in a manufacturing plant with Neo4j Aura graph analytics

Illustration of AI at the center of the bullseye

GenAI
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Neo4j invests $100 million in GenAI and launches key agentic AI innovations

Illustration showing how vector similarity, Cypher templates, and text-to-Cypher meet to create the Aura Agent

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Neo4j Aura Agent: Create your own GraphRAG agent in minutes