AI + Graph

Build graph-aware AI with knowledge graphs, GraphRAG context, and MCP-powered agents

Developer center > AI + Graph

AI agents

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The fastest path to building an agent

Learn how to rapidly build production-ready AI agents

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Neo4j Aura Agent

Create Your Own GraphRAG Agent in Minutes

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Aura GraphRAG agents

Agent-creation platform that enables users to rapidly build, test, and deploy AI agents

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GraphRAG

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Neo4j & GenerativeAI fundamentals

Learn how Neo4j and GraphRAG can support your Generative AI projects

Take course
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Essential GraphRAG

Build Knowledge Graphs That Enable AI-Driven Enterprise

Download book
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RAG tutorial

How to Build a RAG System on a Knowledge Graph

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Model content protocol MCP

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MCP integrations for the Neo4j Graph Database
Learn here
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Neo4j MCP servers: Your LLM's direct link to graph data
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Official Neo4j MCP server

Set up Neo4j as an MCP-compatible data source for AI workflows

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Knowledge graphs

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Building knowledge graphs with LLMs

Convert unstructured data into knowledge graphs.

Take course
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Neo4j knowledge graph builder

Extract Nodes and Relationships from Unstructured Text

Try here
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The developer's guide: How to build a knowledge graph

A guided walkthrough to building your first knowledge graph

Download here
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Neo4j
documentation

Explore comprehensive docs, examples, and step-by-step guides, product documentation to help you design, query, and deploy with Neo4j confidently.

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Developer
blog

Learn directly from Neo4j engineers and community contributors as they share practical tips, design patterns, performance tuning advice, and real-world graph use cases.

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Neo4j
community

Ask questions, exchange solutions, and collaborate with developers building real graph-powered applications. Join discussions, share your expertise, and learn from a global network of graph practitioners.