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.

4 min read
Agent Memory

A Knowledge Layer For Your Agentic Systems on Google Cloud

4 min read

The Data Strategy That Makes Truly Personalized Customer Experiences Possible

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

Best Tools for Context Engineering in Agentic AI Systems

12 min read

Emil Eifrem

CEO & Co-Founder, Neo4j, Inc.

See All Articles

Sudhir Hasbe

Chief Product Officer, Neo4j

See All Articles

Philip Rathle

Chief Technology Officer, Neo4j

See All Articles

Most Recent

Explore Iterative Refinement for Text2Cypher

5 min read

Verify Neo4j Cypher Queries With CyVer

15 min read

Managing Risk in a Manufacturing Plant With Neo4j Aura Graph Analytics

8 min read
Illustration of AI at the center of the bullseye

Neo4j Invests $100 Million in GenAI and Launches Key Agentic AI Innovations

6 min read
Illustration showing how vector similarity, Cypher templates, and text-to-Cypher meet to create the Aura Agent

Neo4j Aura Agent: Create Your Own GraphRAG Agent in Minutes

14 min read

Reinventing Retail: How Neo4j, Oneture, and AWS Can Power Multi-Agent Store Advisers

6 min read

Bolster Your Cybersecurity by Visualizing Attack Graphs With Neo4j & G.V()

10 min read

Knowledge Graph Generation

21 min read

Introducing ToolsRetriever in the Neo4j GraphRAG Python Package

5 min read

The Neo4j Startup Program: Tomorrow’s AI Unicorns Build on Neo4j

3 min read

Optimize Weakly Connected Component Projections

4 min read

Creating a Neo4j Agentic Memory Multi-User Dungeon

25 min read