Neo4j Blog

From Data to Intelligence: Why Every Enterprise Needs an AI Knowledge Layer

The knowledge layer maps and resolves data so AI can accurately answer questions, make better decisions, and be explainable.

Agent Memory

A Knowledge Layer For Your Agentic Systems on Google Cloud

The Data Strategy That Makes Truly Personalized Customer Experiences Possible

iscover the best tool for context engineering and build agentic AI with MCP, knowledge graphs, GraphRAG, and practical evaluation and tracing.

Agentic AI

Best Tools for Context Engineering in Agentic AI Systems

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

The Impact of Schema Representation in the Text2Cypher Task

Learn how to analyze the impact of a Twitter hashtag using Neo4j, Cypher, Python and JavaScript

Analyzing Twitter Hashtag Impact using Neo4j, Python & JavaScript

Learn how to use Neo4j and Structr to measure the global warming impact from 1 tonne of carbon

Healthcare

Using Neo4j & Structr to Measure the Impact of 1 Tonne of Carbon

Learn How to Visualize the Global Impact Investing Network (GIIN) using Neo4j

Visualizing the GIIN Impact Investing Network with Neo4j [Community Post]

Agentic AI

Connected Context and Persistent Memory: Neo4j Providers for the Microsoft Agent Framework

Developer

Neo4j GraphML Detects Network Intrusion in Snowflake

From recall to reasoning: How context graphs upgrade an agent’s brain

Finding Hidden Bottlenecks in Flight Networks with Aura Graph Analytics on Databricks

What Is GraphRAG?

Visualization of how Neo4j Graph Intelligence reveals hidden patterns in massive datasets

How Graph Intelligence Drives Breakthroughs in Science and Society

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How Graph and AI Take Us from Dashboards to Continuous Decisions

GRAPH TYPE – Schema enforcement made easy (Preview)