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

Diagram of OneLake, Microsoft Fabric, and Neo4j.

News

Announcing General Availability of Neo4j Graph Intelligence for Microsoft Fabric

Streamline Data Ingestion With the Neo4j Aura Import API

Security

Use Sentiment Analysis to Understand Risk Appetite

New GraphAcademy Course: Aura Fundamentals

US government building

From Data Chaos to Clarity: How Connected Data Can Improve US Government Decision-Making

A constellation of Orion represented as a graph with nodes and relationships.

GenAI

Advanced RAG Techniques for High-Performance LLM Applications

Solve Hard Graph Problems With Cypher 25

Find Similar Patient Journeys With Neo4j Aura Graph Analytics

Analyze Graphs Directly in Snowflake — The Wait Is Over

How a $28 Part Can Bring Down a $5M Machine — and How GenAI Stops It

Production-Proofing Your Neo4j Cypher MCP Server

Going Meta: Two Years of Knowledge Graphs