Neo4j blog

The knowledge layer for enterprise AI

A manifesto for context-rich enterprise AI

19 min read
Chart of the knowledge layer comprising ontologies, data, and memory

Independent study: GraphRAG makes AI agents 80% more truthful

4 min read
Illustration representing a context graph for AI agent memory

What is a context graph?

13 min read

Welcome, GraphAware

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

Constructing knowledge graphs with Neo4j GraphRAG for Python

3 min read

Announcing the Neo4j connector for AWS Glue

17 min read

Neo4j earns new AWS competencies and expands innovation ahead of AWS re:Invent

5 min read

What is agentic AI? The shift toward autonomous, goal-driven AI systems

16 min read

Implementing DRIFT search with Neo4j and LlamaIndex

12 min read

Build a private network path to Aura on AWS, Azure, and Google Cloud using Terraform

7 min read

Reflections on the 2025 Gartner® Cloud DBMS Magic Quadrant™ and the future of AI-ready data

7 min read

Introducing Neo4j’s native vector data type

5 min read
Stranger Graphs illustration

“Stranger Things” — The gate to true sight with graph intelligence

5 min read

Aura activity feed: Enhanced security and compliance for Neo4j Aura

3 min read

Modeling disruptions in the MTA subway

7 min read

Cypher and the cipher manuscript

21 min read