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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?

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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

Combining knowledge graph and graph algorithms to find hidden skills at NASA

Discover how NASA uses Neo4j to build a knowledge graph.

Graphs in government: A NASA knowledge graph

Watch David Meza’s presentation on the importance of knowledge graphs

Knowledge graph

How NASA finds critical data through a knowledge graph

Catch this week's 5-minute interview with David Meza, Chief Knowledge Architect at NASA

The 5-minute interview: David Meza, chief knowledge architect, NASA

Learn How NASA Built a Lesson Learned Database with Neo4j and Linkurious

Graph visualization

Graphing a lesson learned database for NASA using Neo4j, R/RStudio & Linkurious [Community Post]

Graph database

Neo4j goes NASA Space Apps Challenge

Top 10 graph database use cases (with real-world case studies)

How to Build a Knowledge Graph

Knowledge graph

How to build a knowledge graph in 7 steps

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

Knowledge graph-based chatbot with GPT-3 and Neo4j

Knowledge graph-based chatbot with GPT-3 and Neo4j

Graph databases for beginners: Why graph technology is the future

Graph database

Design thinking for graph data: The secret to successful graph-powered apps