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

Learn about Three Major Graph Database Technology Trends to Watch out for in 2016

3 Major Graph Database Technology Trends to Watch in 2016 [Community Post]

4 min read
Exploring ultimate beneficial ownership with graph technology

Exploring ultimate beneficial ownership with graph technology

6 min read

Analyzing annual reports using LLMs and graph technology

9 min read

Predictions for 2023: What’s on the horizon for graph technology?

32 min read
Learn more about using graph technology for fraud detection.

Fraud detection using graph technology

5 min read

How banks in ANZ use data-driven insights to optimize DevOps and cloud migration

9 min read

Neo4j as an embedded database: Understanding embedding and graph databases

5 min read
Learn how In-Q-Tel using Neo4j to bring tech innovation to intelligence agencies.

Graphs in government: How In-Q-Tel brings tech innovation to intelligence agencies

3 min read

The AI application your team can actually stand behind

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

What’s invisible in your supply chain could cost you

7 min read

Neo4j launches breakthrough architecture to unify transactional and operational workloads

5 min read

Maximize generative AI outcomes, minimize generative AI risks

7 min read