Neo4j blog

Neo4j Context Engine: Rapidly build dependable enterprise agents

Neo4j Context Engine, now in private preview, enables AI agents to accurately answer questions about your business and reliably execute its processes.

5 min read
MIT Technology Review Insights report cover, Connecting AI agents to enterprise knowledge

MIT Technology Review Insights research explains why 13% of companies have a 61% AI success rate

6 min read
Agentic GraphRAG illustration showing an agent reasoning loop connected to a knowledge graph

Agentic GraphRAG: How does an AI agent use a knowledge graph?

9 min read

Introducing Neo4j GraphAware Financial Crime Intelligence

8 min read

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

Get start With Neo4j Aura Cloud Graph Database Network

Getting started with Neo4j Aura: A guide to the leading cloud graph database

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

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

17 min read

Introducing Neo4j Agent Skills

5 min read

Introducing Asynchronous I/O in Neo4j using io_uring

5 min read

SumoDB in Neo4j: Graph Analytics of Grand Sumo

5 min read

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

15 min read

Precise economic policy in a world of chaos

13 min read
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?

8 min read

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

5 min read

Integrating Neo4j with Google Genkit: A Practical Guide

21 min read

Connected Intelligence: Scaling graph-powered reasoning across the AI ecosystem

6 min read

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

14 min read