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

Context-Aware Knowledge Graph Chatbot With GPT-4 and Neo4j

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Cypher Code-Golf Completion: Hackathon Winners Announced

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User Management: New Security Feature in Neo4j Aura Enterprise

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A Warm Welcome to Sudhir Hasbe, Neo4j’s Chief Product Officer

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Creating a Knowledge Graph From Video Transcripts With ChatGPT 4

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Exploring the Updated Neo4j-Java-Driver: Finding Trees in the Forest

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Unleash graph data science with Neo4j AuraDS Enterprise on Microsoft Azure

Neo4j AuraDS Enterprise on Microsoft Azure (EAP): The Future of Graph Data Science

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Using Neo4j AuraDB as a Source and Sink for AWS MSK

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The Power of the Path – Part 1

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Git Commit History – Discover AuraDB Free: Week 44

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Graph for Equitable Financial Opportunities: The 5-Minute Interview With Arthur Zverko

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Describing a Property Graph Data Model

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