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
MIT Technology Review Insights report cover, Connecting AI agents to enterprise knowledge

MIT Technology Review Insights research explains why 13% of companies have a 61% AI success rate

6 min read
Agentic GraphRAG illustration showing an agent reasoning loop connected to a knowledge graph

Agentic GraphRAG: How does an AI agent use a knowledge graph?

9 min read

Introducing Neo4j GraphAware Financial Crime Intelligence

8 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

Neo4j and GraphQL in one toolbox

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Graph that saves lives: Connecting research papers to clinical trials to saving human lives

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Using Neo4j Graph Data Science in Python to improve machine learning models

18 min read

Analyzing Roland Garros and US Open tennis tournaments via Neo4j

13 min read

Win big with Neo4j code golf – a Cypher coding contest

5 min read

Introducing Neo4j Ops Manager: The tool you need to boost your ops team’s productivity

8 min read

Neo4j Ops Manager: One place to centrally and easily manage Neo4j databases

4 min read

Neo4j integrates into your data ecosystem with connectors

6 min read

Neo4j data access for your .NET Core C# microservice

5 min read

Developers.Zed: The LinkedIn for developers in Zambia

6 min read

Can’t stop, won’t stop: Graph Data Science 2.1 is better than ever

5 min read

Announcing Neo4j Bloom 2.3: Supercharged with Graph Data Science

2 min read