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

Expensive AI models may sound smart, but without context, they don’t actually understand your business. It’s Ferris Bueller’s Ferrari with nowhere to drive. All engine. No roads.

The Context Gap: Why Your Smart-Sounding AI Struggles to Reason

Graph Database

Property Sharding in Infinigraph: Smarter Scaling for Rich Graph Databases

Smarter AI With Smarter RAG and Reasoning

Beyond Vector Search: Unleashing the Power of GraphRAG for Smarter Recommendations

Discover the must-see speakers at this year's GraphConnect 2018.

News

11 Must-See Speakers at GraphConnect 2018 in New York City

London’s Traffic Operations Digital Twin: The 5-Minute Interview With Andy Emmonds

Revolutionizing the Energy Industry with Graphs

Digging Into the ICIJ Pandora Papers Dataset with Neo4j

Watch Andy Mulholland's Talk on How Internet of Things (IoT) Graphs Intersect with Business Needs

IoT: Where Do Graphs Fit with Business Requirements

Debugging With Aura Agent

Production-Proofing Your Neo4j Cypher MCP Server

Verify Neo4j Cypher Queries With CyVer