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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

Neo4j and Snowflake Bring Graph Data Science Into the AI Data Cloud

Neo4j and Snowflake bring graph data science into the AI Data Cloud

RDF vs. Knowledge Graph: Choosing the Right Approach for Implementing Knowledge Graphs.

Knowledge graph

RDF vs. property graphs: Choosing the right approach for implementing a knowledge graph

LangChain Neo4j Starter Kit.

LangChain Neo4j starter kit

openCypher will pave the road to GQL for Cypher implementations.

Cypher & GQL

openCypher will pave the road to GQL for Cypher implementers

How to configure Neo4j Aura with AWS PrivateLink.

How to configure Neo4j Aura with AWS PrivateLink

Neo4j Joins the Connect with Confluent Partner Program.

AuraDB
News

Neo4j joins the Connect with Confluent partner program

Bringing the Mahabharata epic to life: a Neo4j-powered chatbot with Google Gemini (part 2)

10 Inspiring Projects to Spark Your NODES 2024 Presentation

10 inspiring projects to Spark your NODES 2024 presentation

New Security Feature in Neo4j Aura: Customer Managed Keys

New security feature in Neo4j Aura: Customer Managed Keys

Unveiling the Mahabharata’s web: analyzing epic relationships with Neo4j graph database (part 1)

Going meta: Wrapping up GraphRAG, vectors, and knowledge graphs

Safeguarding elections: How graph technology powers groundbreaking research on political ads