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.

4 min read
Learn what agentic RAG is, how it works, which design patterns to use, and when it beats traditional RAG.

Agentic RAG: What it is, how it works, and when to use it

17 min read
Agent Memory

A knowledge layer for your agentic systems on Google Cloud

4 min read

The data strategy that makes truly personalized customer experiences possible

9 min read

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

Enhancing Word Embedding with Graph Neural Networks

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Unlock the Power of Graph Data Science With AuraDS Enterprise on AWS

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Slice and Dice Your Graph Data With Neo4j Bloom

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Angular With @neo4j/graphql and the Nest.js Backend

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Demystifying Graph Neural Networks

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From Nodes to Rows: A Guide to Querying Neo4j Graph Database in Pandas/SQL Style Using Cypher

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SustainGraph – A Knowledge Graph for the UN Sustainability Goals

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How to Explore SAP Sample Data in Neo4j – Graph for ERP Part 2

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Graphs for Ease and Scalability in the Auto Industry: The 5-Minute Interview with Michal Stefanak

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Knowledge Graph-Based Chatbot With GPT-3 and Neo4j

Knowledge Graph-Based Chatbot With GPT-3 and Neo4j

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The Power of Knowledge Graphs and Conversational AI

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An Introduction to Needle – Neo4j’s Design System

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