Neo4j blog

Introducing Neo4j GraphAware Financial Crime Intelligence

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

8 min read

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

10 min read

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

19 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

Empowering open-source cyber threat intelligence analysis with graph visualization

8 min read

Getting started with the Neo4j GraphRAG Python package

6 min read

Integrating unstructured.io with Neo4j AuraDB to build a document knowledge graph

8 min read

Creating a graph of chemical reactions

3 min read

Introducing your new Cypher co-pilot

8 min read
The GraphRAG Manifesto.

The GraphRAG manifesto: Adding knowledge to GenAI

27 min read
IDJC election graph.

How election researchers use graph technology to fight disinformation

5 min read

Implementing ‘from local to global’ GraphRAG with Neo4j and LangChain: Constructing the graph

26 min read

Graph app restrictions on Neo4j Desktop 1.6.0

3 min read

GraphRAG in (almost) pure Cypher

8 min read

Mix and batch: a technique for fast, parallel relationship loading in Neo4j

17 min read

Graph exploration by all MEANS with mongo2neo4j and SemSpect

14 min read