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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

a recipe knowledge graph and agent

One starter repo, three winners: Neo4j at Hack the Video Agent Context Graph

AgentMemory for .NET: A native sibling to Neo4j Agent Memory

Neo4j Virtual Graph is now in public preview

Graph used right & built fast: Neo4j at HackwithBay 3.0

Hybrid Search in Neo4j: Full-Text, Vectors, and Graph Topology with Cypher

Deep Dive: Neo4j Virtual Graph on BigQuery

Neo4j Named “One to Watch” in Snowflake’s 2026 Modern Marketing Data Stack Report

A Tour of the Neo4j Agent Memory Service (NAMS)

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

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

Developer

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

Developer

How Do You Defend Neo4j Against Quantum Computers?

Digital twins that learn: connected asset intelligence with Neo4j and Databricks