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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

Developer

Neo4j certification: What’s the value?

Knowledge graphs & LLMs for multi-hop question answering.

How to improve multi-hop reasoning with knowledge graphs and LLMs

Cypher: the Neo4j query language decoded for beginners

Introducing AI-powered dashboard creation in the Aura Console

News

Neo4j Desktop 2.0 reimagines the local developer experience

Developer

Start your free Neo4j certified journey

Smarter AI with smarter RAG and reasoning

Developer

Take part in user research and help shape the future of Neo4j

Integrating Neo4j with Symfony: Profiling queries and centralized logging

Neo4j graph analytics for Snowflake: Bringing graph-powered insights to the AI Data Cloud

Beyond vector search: Unleashing the power of GraphRAG for smarter recommendations

What are the different types of graph algorithms & when to use them?