Neo4j blog

Introducing Neo4j GraphAware Financial Crime Intelligence

Move from fragmented data to connected intelligence, for better detection, deeper investigations, and defensible decisions.

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

Scaling Karpathy’s LLM wiki: Why your knowledge base needs a graph

Independent study: GraphRAG makes AI agents 80% more truthful

Featured voices

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

Illustration of how a supplier graph connectes materials, routes, and contracts

What’s invisible in your supply chain could cost you

APRA just put the financial sector on notice over AI. Government agencies need to take notes.

APRA just put the financial sector on notice over AI. Government agencies need to take notes.

Now available: Dedicated Neo4j field engineers empowering AI startups

Grounding Salesforce Agentforce with Neo4j knowledge graphs

Introducing Create Context Graph

Agentic AI

Agent tools: What they are, how they work, and how AI agents use them

How a Neo4j semantic layer makes your Text-to-SQL agent smarter and cheaper

NODES 2026 Call for Papers open until June 15, 2026

Graph database

NODES 2026 is coming up: Submit your talk

ServiceNow+Neo4j

Turning ServiceNow data into connected enterprise intelligence

Building graph-based agentic systems: Failures, fixes, and how the answer gets there — Part 2

SumoDB in Neo4j: Graph Analytics in Snowflake — Part 2

Get start With Neo4j Aura Cloud Graph Database Network

Getting started with Neo4j Aura: A guide to the leading cloud graph database