Neo4j blog

The knowledge layer for enterprise AI

A manifesto for context-rich enterprise AI

19 min read
Chart of the knowledge layer comprising ontologies, data, and memory

Independent study: GraphRAG makes AI agents 80% more truthful

4 min read
Illustration representing a context graph for AI agent memory

What is a context graph?

13 min read

Welcome, GraphAware

4 min read

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

Enhancing the accuracy of RAG applications with knowledge graphs

10 min read

Introduction to vector indexes and unstructured data – New GraphAcademy course

1 min read
Neo4j is thrilled to collaborate with Microsoft on a unified data offering.

Neo4j integrates with Microsoft to evolve data analytics and enhance GenAI

10 min read

Cypher sleuthing: How to find property data types in Neo4j

5 min read

Announcing Neo4j JDBC driver version 6

12 min read

Needle StarterKit 2.0: Templates, chatbot, and more!

3 min read

Accelerate Neo4j app development with low-code Keymaker framework

5 min read

Cypher Workbench as a Neo4j Labs project

6 min read
Dave Aitel

This week in Neo4j: Cypher, GenAI, podcast, graph databases and more

3 min read

Generative transformation from ER diagram to graph model using Google’s Gemini Pro

10 min read
Implementing RAG: How to write a graph retrieval query in LangChain

Implementing RAG: How to write a graph retrieval query in LangChain

8 min read
Sebastian Lobentanzer

This week in Neo4j: GraphAcademy, algorithms, GenAI, knowledge graphs and more

3 min read