Neo4j blog

Introducing Neo4j GraphAware Financial Crime Intelligence

Move from fragmented data to connected intelligence, for better detection, deeper investigations, and defensible decisions.

Vector RAG vs. GraphRAG: Which retrieval do you need?

Scaling Karpathy’s LLM wiki: Why your knowledge base needs a graph

Independent study: GraphRAG makes AI agents 80% more truthful

Featured voices

Emil Eifrem

CEO & Founder, Neo4j

See all articles

Sudhir Hasbe

Chief Product Officer, Neo4j

See all articles

Philip Rathle

Chief Technology Officer, Neo4j

See all articles

Most recent

Learn what agentic RAG is, how it works, which design patterns to use, and when it beats traditional RAG.

Agentic AI

Agentic RAG: What it is, how it works, and when to use it

Introducing Neo4j Agent Skills

Introducing Asynchronous I/O in Neo4j using io_uring

SumoDB in Neo4j: Graph Analytics of Grand Sumo

Building stateful AI: Integrating Aura Agent lifecycle with MCP and persistent memory

Precise economic policy in a world of chaos

GraphAcademy content is moved into Neo4j Aura, and an Aura Agent used to provide MCP server access to VS Code, Cursor, and Claude agents.

Can I use Aura Agents to create an MCP enabled teacher?

Graph database

From agents to analytics: What’s new from Neo4j on Google Cloud

Integrating Neo4j with Google Genkit: A Practical Guide

Graph database

Connected Intelligence: Scaling Graph-Powered Reasoning Across the AI Ecosystem

From Identity Vacuum to Identity Driven Access Control: Securing LLM Agents in the Enterprise

Developer

“Boost” the power of your AI agents: Integrating Neo4j MCP with Laravel