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2025: Year of AI and Scalability

Discover how 2025 marked Neo4j’s evolution from a graph database and analytics leader into the world’s premier graph intelligence platform.

Agentic AI

Useful AI Agent Case Studies: What Actually Works in Production

Fraud is detected when relationships are visible, not when transactions are viewed in isolation.

Detect Fraud Faster With a Transaction Graph

Graph-Driven AI for All: Neo4j Aura Agent Enters General Availability

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

Optimize Weakly Connected Component Projections

Creating a Neo4j Agentic Memory Multi-User Dungeon

Agentic AI

What Is an AI Agent?

Use Weakly Connected Components to Avoid Cypher Query Crashing

Implementing Neo4j GraphRAG Retrievers as MCP Server

Graph Database

Property Sharding in Infinigraph: Smarter Scaling for Rich Graph Databases

Graph Database

Neo4j Launches Breakthrough Architecture to Unify Transactional and Operational Workloads

Evaluating Graph Retrieval in MCP Agentic Systems

Rewire Your Integration Strategy: A Graph-First Approach With Neo4j and AI

GraphRAG in Action: A Simple Agent for Know-Your-Customer Investigations

From Legal Documents to Knowledge Graphs

RAG Tutorial: How to Build a RAG System on a Knowledge Graph