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
Visualization of how Neo4j Graph Intelligence reveals hidden patterns in massive datasets

How Graph Intelligence Drives Breakthroughs in Science and Society

5 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

The Data Strategy That Makes Truly Personalized Customer Experiences Possible

9 min read

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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Text2Cypher: The Impact of Difficult Example Selection

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Is a Knowledge Graph a Graph Database?

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Transform Static Risk Assessment Into a Dynamic Data-Driven Strategy

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LLM Knowledge Graph Builder Back-End Architecture and API Overview

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Build an Intelligent Movie Search With Neo4j and Vertex AI

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Neo4j and Google Distributed Cloud: Bringing Graph Technology to Air-Gapped Environments

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Google Cloud & Neo4j: Teaming Up at the Intersection of Knowledge Graphs, Agents, MCP, and Natural Language Interfaces

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Neo4j + Google Cloud: Powering the Next  Generation of AI and Cloud Innovation

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The Impact of Schema Representation in the Text2Cypher Task

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What Is Pattern Matching?

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7 Tips for Submitting Your NODES 2025 Talk

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Choose the Right Neo4j Offering for Your Needs

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