NODES 2024 Online Developer Conference | November 7, 2024 | Save the Date

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GenAI apps,
grounded in your data

Power your applications with knowledge graphs. Backed by the only graph database with vector search.

Innovation Leaders Rely on Graph

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  • The GraphRAG Manifesto: Unlock Better GenAI Results With Knowledge Graphs

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  • Neo4j-Databricks Connector Delivers Deeper Insights, Faster GenAI Development

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  • Neo4j Brings Advanced Graph Data Science to Snowflake

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Realize the Possibilities
With Our Full Graph Stack

Native graph storage, data science, ML, analytics, and visualization with enterprise-grade security controls to scale your transactional and analytical workloads – without constraints.

Explore our full graph stack


Improve Models. Sharpen Predictions.

Built by data scientists for data scientists, Neo4j Graph Data Science unearths and analyzes relationships in connected data to increase ML model accuracy and drive contextual AI – making better predictions with the data you already have.

Discover graph data science


Build Smarter Apps. Faster.

Develop intelligent applications quickly and collaborate with a global network of developers, data scientists, and innovators, while sharing resources, insights, and technical expertise.

Start building today

ISO GQL News – A Defining Moment in the History of Database Innovation

Discover the impact of ISO GQL and what it means for the future of graph databases

Eliminate Joins, Simplify Querying

Neo4j makes querying simple by eliminating tables and joins. Experience Cypher, our powerful query language that simplifies data analysis with 10x less code than SQL.

Explore Cypher

MATCH (p:Product)-[:CATEGORY]->(l:ProductCategory)-[:PARENT*0..] ->(:ProductCategory {name:"Dairy Products"}) RETURN
SELECT p.ProductName FROM Product AS p JOIN ProductCategory pc ON (p.CategoryID = pc.CategoryID AND pc.CategoryName = "Dairy Products") JOIN ProductCategory pc1 ON (p.CategoryID = pc1.CategoryID) JOIN ProductCategory pc2 ON (pc1.ParentID = pc2.CategoryID AND pc2.CategoryName = "Dairy Products") JOIN ProductCategory pc3 ON (p.CategoryID = pc3.CategoryID) JOIN ProductCategory pc4 ON (pc3.ParentID = pc4.CategoryID) JOIN ProductCategory pc5 ON (pc4.ParentID = pc5.CategoryID AND pc5.CategoryName = "Dairy Products");

Any Cloud. Any Architecture.

Run Neo4j in the cloud of your choice for a fully managed experience, or on-premise and self-hosted to meet the most strict data security requirements.


Deploy like a pro. No infrastructure or system access required.

Cloud Managed Services

Get the perfect fit. Deploy in your own data centers or VPC.


Total control, infinite possibilities. Bring your own license and deploy anywhere.

Find the right partner