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Agentic AI

The knowledge layer for enterprise AI

A manifesto for context-rich enterprise AI

Chart of the knowledge layer comprising ontologies, data, and memory

Independent study: GraphRAG makes AI agents 80% more truthful

Illustration representing a context graph for AI agent memory

Agentic AI

What is a context graph?

Welcome, GraphAware

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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

Fraud is detected when relationships are visible, not when transactions are viewed in isolation.

Detect fraud faster with a Transaction Graph

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Neo4j launches breakthrough architecture to unify transactional and operational workloads

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Real-time dashboard of Bitcoin transactions with Neo4j and NeoDash

Graphs for real-time transaction processing: 5-minute interview with Jorge Zaccaro

Free Download O'Reilly Graph Algorithms book

Graph algorithms in Neo4j: Use cases for graph transactions & analytics

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Upload your Last.fm data to Neo4j with RNeo4j and the transactional endpoint

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How AI decision-making works and how to improve it

Connected Intelligence: Operationalizing Production-Grade Graph Solutions Across Enterprise Networks

Deep Dive: Neo4j Virtual Graph on BigQuery

Zero-Copy Graph Reasoning on Snowflake: Getting Started With Neo4j Virtual Graph

Zero-Copy Graph Reasoning on Snowflake: Getting Started With Neo4j Virtual Graph

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Graph and Lakehouse, Friends at Last

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Neo4j GRAPH TYPE: A Pragmatic Comparison with the RDF/SHACL World