Neo4j blog

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

Scaling Karpathy’s LLM wiki: Why your knowledge base needs a graph

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?

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

Unstructured-to-structured graph data using BAML to Neo4j

Cypher dynamism: A step toward simpler and more secure queries

Claude converses with Neo4j via MCP

LangChain-Neo4j Partner Package: Officially Supported GraphRAG

LangChain-Neo4j partner package: Officially supported GraphRAG

Cypher gems in Neo4j 5

Get started with the Neo4j Aura CLI beta release

Neo4j earns new AWS competencies.

Neo4j expands AWS collaboration with new competencies in finance, automotive, GenAI, and ML

AuraDB
News

AWS PrivateLink and VPC Lattice improve cross-account resource sharing for Neo4j

GraphRAG in action: From commercial contracts to a dynamic Q&A agent

Moving to the Neo4j Query API

NODES 2024 top-rated talks

NODES

The 10 top-rated talks at NODES 2024

What is a database management system?

Graph database

What is a database management system?