Neo4j Blog

From data to intelligence: Why every enterprise needs an AI knowledge layer

The knowledge layer maps and resolves data so AI can accurately answer questions, make better decisions, and be explainable.

Agentic AI

Agent tools: What they are, how they work, and how AI agents use them

Agent Memory

A knowledge layer for your agentic systems on Google Cloud

The data strategy that makes truly personalized customer experiences possible

Featured Voices

Emil Eifrem

CEO & Co-Founder, Neo4j, Inc.

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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 Brief History of SQL and the Rise of Graph Queries

LLM Knowledge Graph Builder: From Zero to GraphRAG in Five Minutes

Get Started With GraphRAG: Neo4j Ecosystem Tools

Get Started With GraphRAG: Neo4j’s Ecosystem Tools

The GenAI graph gathering.

A Tale of LLMs and Graphs: The GenAI Graph Gathering

Easy Data Ingestion With Neo4j Runway and arrows.app

Data Exploration With the Neo4j Runway Python Library

Rags to Reqs: Making ASVS Accessible Through the Power of Graphs and Chatbots

Rags to Reqs: Making ASVS Accessible Through the Power of Graphs and Chatbots

GenAI Starter Kit: Everything You Need to Build an Application with Spring AI in Java

Developer

Unleashing the Power of NLP with LlamaIndex and Neo4j

From Ancient Epic to Modern Marvel: Demystifying the Mahabharata Chatbot With GraphRAG (Part 3)

Neo4j-Databricks Connector Delivers Deeper Insights, Faster GenAI Development.

Neo4j-Databricks Connector Delivers Deeper Insights, Faster GenAI Development

Knowledge Graph vs. Vector RAG: Benchmarking, Optimization Levers, and a Financial Analysis Example