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

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

10 min read

Introducing Neo4j GraphAware Financial Crime Intelligence

8 min read

Independent study: GraphRAG makes AI agents 80% more truthful

4 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

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

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

7 min read

Amnesia is all you need

15 min read

Neo4j Google Cloud Marketplace listings

2 min read

Build AI agents that make better decisions on GCP with Neo4j

21 min read

Connected context and persistent memory: Neo4j providers for the Microsoft Agent Framework

19 min read
Agent Memory

A knowledge layer for your agentic systems on Google Cloud

4 min read

Building a Neo4j graph agent for Gemini Enterprise

22 min read
How to create and integrate an Okta OIDC service account with Neo4j

How to create and integrate an Okta OIDC service account with Neo4j

7 min read