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.

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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

What Is GraphRAG?

13 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

Whose Signature Really Matters? Understanding PageRank Through Yearbook Signatures

5 min read

Boundary Graph: Exploring the IPL Through the Lens of Graphs

10 min read

Constructing Knowledge Graphs With Neo4j GraphRAG for Python

3 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

Introducing ToolsRetriever in the Neo4j GraphRAG Python Package

5 min read

Implementing Neo4j GraphRAG Retrievers as MCP Server

6 min read

Neo4j Launches Breakthrough Architecture to Unify Transactional and Operational Workloads

4 min read

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

16 min read

Unleashing the Power of Schema: What’s New in the Neo4j GraphRAG Package for Python

9 min read

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

4 min read