Neo4j blog

Welcome, GraphAware

Neo4j is acquiring GraphAware, our longtime partner and a leading provider of intelligence analysis software for government agencies.

New research finds enterprises earn 230% ROI with Neo4j Graph Intelligence Platform

Context graphs: Why AI agents need three types of memory

Knowledge graph

Taxonomy vs. ontology vs. knowledge graph: What’s the difference?

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

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

Using LlamaParse to create knowledge graphs from documents

Topic extraction with Neo4j GDS for better semantic search in RAG applications

Creating the GQL Database Language Standard.

Cypher & GQL

Creating the GQL database language standard

Graph-based metadata filtering to improve vector search in RAG applications

Adding RAG to your GraphQL API

GQL is here: Your Cypher queries in a GQL world.

Cypher & GQL

GQL is here: Your Cypher queries in a GQL world

GQL: The ISO Standard for Graphs Has Arrived!

GQL: The ISO standard for graphs has arrived

Building RAG Applications With the Neo4j GenAI Stack: A Comprehensive Guide

Building RAG applications with the Neo4j GenAI stack: a comprehensive guide

Node embeddings in a knowledge graph.

The future of knowledge graph: Will structured and semantic search become one?