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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

Featured voices

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

Integrating unstructured.io with Neo4j AuraDB to build a document knowledge graph

Developer

Creating a graph of chemical reactions

Introducing your new Cypher co-pilot

The GraphRAG Manifesto.

The GraphRAG manifesto: Adding knowledge to GenAI

IDJC election graph.

News

How election researchers use graph technology to fight disinformation

Implementing ‘from local to global’ GraphRAG with Neo4j and LangChain: Constructing the graph

Developer

Graph app restrictions on Neo4j Desktop 1.6.0

GraphRAG in (almost) pure Cypher

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

Graph exploration by all MEANS with mongo2neo4j and SemSpect

How GenAI provides deep understanding with knowledge graphs

Customize Property Graph Index in LlamaIndex.

Customizing property graph index in LlamaIndex