Neo4j blog

Neo4j Context Engine: Rapidly build dependable enterprise agents

Neo4j Context Engine, now in private preview, enables AI agents to accurately answer questions about your business and reliably execute its processes.

5 min read

Vector RAG vs. GraphRAG: Which retrieval do you need?

10 min read

Introducing Neo4j GraphAware Financial Crime Intelligence

8 min read

Independent study: GraphRAG makes AI agents 80% more truthful

4 min read

Emil Eifrem

CEO & Founder, Neo4j

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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

Graph used right & built fast: Neo4j at HackwithBay 3.0

10 min read

Hybrid Search in Neo4j: Full-Text, Vectors, and Graph Topology with Cypher

7 min read

What 40 AI Agents Revealed About the Future of Graph Intelligence

8 min read

Deep Dive: Neo4j Virtual Graph on BigQuery

17 min read

What is AI-ready data? How a knowledge layer gets you there

15 min read

I built a digital twin of my amateur-built airplane

10 min read
A workbench for teams to query, explore, and visualize graph data

A workbench for teams to query, explore, and visualize graph data

3 min read

Neo4j Named “One to Watch” in Snowflake’s 2026 Modern Marketing Data Stack Report

3 min read

A Tour of the Neo4j Agent Memory Service (NAMS)

15 min read
Zero-Copy Graph Reasoning on Snowflake: Getting Started With Neo4j Virtual Graph

Zero-Copy Graph Reasoning on Snowflake: Getting Started With Neo4j Virtual Graph

17 min read

Graph and Lakehouse, Friends at Last

23 min read

Taxonomy vs. ontology vs. knowledge graph: What’s the difference?

9 min read