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

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

The limitations of text embeddings in RAG applications

Graph Data Science

Graphs4APAC: Enabling, empowering & engaging professionals in APAC

Predictions for 2023: What’s on the horizon for graph technology?

Knowledge graph

From collected data to connected data: How knowledge graphs are changing the world

Knowledge Graphs

How knowledge graphs drive more sales with real-time recommendation engines

Embracing open data: The 5-minute interview with Nur Aini Rakhmawati

Check out how the first-ever Global Graph Celebration Day events around the world.

News

Here’s how the Neo4j community celebrated Global Graph Celebration Day!

Developer

Using Apache Spark and Neo4j for big data graph analytics