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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Explore the Neo4j Data Modeling MCP Server

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Neo4j Certification: What’s the Value?

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Knowledge graphs & LLMs for multi-hop question answering.

How to Improve Multi-Hop Reasoning With Knowledge Graphs and LLMs

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Cypher: The Neo4j Query Language Decoded for Beginners

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Introducing AI-Powered Dashboard Creation in the Aura Console

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Neo4j Desktop 2.0 Reimagines the Local Developer Experience

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Start Your Free Neo4j Certified Journey

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Smarter AI With Smarter RAG and Reasoning

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Take Part in User Research and Help Shape the Future of Neo4j

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Integrating Neo4j With Symfony: Profiling Queries and Centralized Logging

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Neo4j Graph Analytics for Snowflake: Bringing Graph-Powered Insights to the AI Data Cloud

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Beyond Vector Search: Unleashing the Power of GraphRAG for Smarter Recommendations

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