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The Enterprise Knowledge Layer

A manifesto for context-rich enterprise AI

Chart of the Enterprise Knowledge Layer spanning ontologies, data, and memory.

Welcome, GraphAware

Agentic AI

How AI decision-making works and how to improve it

New research finds enterprises earn 230% ROI with Neo4j Graph Intelligence Platform

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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 more about Neo4j Connector for Apache Spark.

The great hookup: Announcing Neo4j Connector for Apache Spark

Learn about the Apache Spark and Neo4j 3.0 connector with demos for GraphX, GraphFrames and more

Introducing the Neo4j 3.0 Apache Spark connector

Neo4j and Databricks - Data to Knowledge

Graph database

Power connected intelligence for AI and analytics with Neo4j and Databricks

Developer

Neo4j and the data ecosystem

Developer

Use Neo4j Parallel Spark Loader to improve large-scale ingestion jobs

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

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

Neo4j-Databricks connector delivers deeper insights, faster GenAI development

Using Neo4j AuraDB as a source and sink for AWS MSK

Loading data into Neo4j with Google Cloud Dataflow

Developer

Introducing the new Neo4j data warehouse connector

Neo4j integrates into your data ecosystem with connectors

What to look for in an embedded graph database

Graph database

Neo4j as an embedded database: What to look for in an embedded graph database