Scale Karpathy’s LLM Wiki with Neo4j GraphRAG
Learn how to transform Karpathy’s LLM Wiki into a production-ready knowledge layer with Neo4j, built for accurate, explainable AI retrieval.
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Products
- FULLY-MANAGED
- AuraDB Store and query connected data at scale
- Virtual Graph Create and query a knowledge graph on existing data
- Aura Graph Analytics Run graph algorithms on any data, any cloud
- Aura Agent Build and deploy context-aware agents fast
- SELF-MANAGED
- Graph Database Store connected data with a graph database
- Graph Data Science Run graph algorithms on connected data
- Enterprise Studio Securely query, explore, and visualize data
- Fleet Manager Manage all your Neo4j deployments from one place
- AI CAPABILITIES
- Knowledge layer
- AI systems
- GraphRAG
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Solutions
- INDUSTRIES
- Financial services
- Healthcare & life sciences
- Retail
- Telecommunications
- US federal government
- TECHNICAL PATTERNS
- Digital twin
- Knowledge graphs
- Metadata management
- Pattern matching
- GRAPHAWARE
- Intelligence analysis
- USE CASES
- AI systems
- Customer experiences
- Data privacy, risk, & compliance
- Fraud
- Identify & access management
- Network & IT
- Real-time recommendations
- Supply chain
- PARTNERS
- AWS
- Databricks
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- Partner directory
- Become a partner
- Customer success stories Case studies, customer videos, proof points, and more
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- Why Neo4j
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Developers
- LEARNING CENTERS
- Dev Center Best practices, guides, tutorials, and downloads
- GraphAcademy Free online courses and certifications. Join the 100k+ Neo4j experts.
- DEV RESOURCES
- Community
- Discord
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- Documentation
- Deployment Center
- BUILD WITH AI
- AI + graph
- GraphRAG
- Agent memory
- Model Context Protocol (MCP)
- Customer support
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Resources
- LEARN
- Blog Announcements, guides, and best practices
- Customer success stories Case studies, customer videos, proof points, and more
- GraphAcademy Free online courses and certifications. Join the 100k+ Neo4j experts.
- Resource library Whitepapers, datasheets, and more
- Events hub Live and on-demand events, training, webinars, and demos
- Video hub Covering graph databases, data science, analytics, and AI
- FEATURED EVENTS
- GraphSummit 2026 The knowledge layer for trustworthy AI
- NODES 2026 | November 12 Virtual Conference: Engineering better intelligence
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