Neo4j blog

Agentic AI

The knowledge layer for enterprise AI

A manifesto for context-rich enterprise AI

Chart of the knowledge layer comprising ontologies, data, and memory

Independent study: GraphRAG makes AI agents 80% more truthful

Illustration representing a context graph for AI agent memory

Agentic AI

What is a context graph?

Welcome, GraphAware

Featured voices

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

How to Build a Knowledge Graph

Knowledge graph

How to build a knowledge graph in 7 steps

Function calling in agentic workflows

Automate start and stop of Neo4j AuraDB instances using GitHub Actions

Building knowledge graphs with Claude and Neo4j: A no-code MCP approach

Knowledge graph extraction and challenges

Build AI agents with Google’s MCP toolbox and Neo4j knowledge graphs

Data lineage

What is data lineage? Tracking data through enterprise systems

Neo4j Text2Cypher: Analyzing model struggles and dataset improvements

Developer

Solve scheduling problems with relationship coloring and Neo4j

A Cypher game of life

15 best graph visualization tools.

15 best graph visualization tools for your Neo4j graph database

Entity resolution

Graph database

What is entity resolution?