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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Most Recent

Neo4j Launches Breakthrough Architecture to Unify Transactional and Operational Workloads

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Evaluating Graph Retrieval in MCP Agentic Systems

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Rewire Your Integration Strategy: A Graph-First Approach With Neo4j and AI

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GraphRAG in Action: A Simple Agent for Know-Your-Customer Investigations

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From Legal Documents to Knowledge Graphs

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RAG Tutorial: How to Build a RAG System on a Knowledge Graph

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Quickly Build a ReAct Agent With LangGraph and MCP

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IP Filtering for Neo4j Aura — Simpler and Stronger Network Security

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Using GraphQL Middleware With Neo4j GraphQL

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Query, Chomp, Repeat

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Sudhir Hasbe Named President, Technology at Neo4j

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Exploring the Neo4j Spatial Plugin: Custom Procedures for Spatial Analysis

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