GraphAI
  • Abstract
  • Unleashing the Power of Blockchain Data for AI
  • The GraphAI Manifesto
  • Core Components of GraphAI
    • Blockchain Data Indexing
    • Customizable Sub-Indexes
    • Vector Database Integration
    • Knowledge Graph Construction
    • Contextualizing Blockchain Data
    • Enhancing AI Model Understanding
  • Enhancing AI-Driven Blockchain Applications
    • Empowering LLM-Based dApps
    • Expanding Application Horizons
  • System Architecture: Scalability and Flexibility
  • Advantages of GraphAI
    • Accelerated Development of AI-Driven dApps
    • Improved AI Model Performance
    • Contextual Richness through GraphRAG
  • GraphRAG Lifecycle in GraphAI
  • Future Developments
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  1. Core Components of GraphAI

Knowledge Graph Construction

GraphAI incorporates a dynamic knowledge graph that maps relationships and contexts within the blockchain data. This graph enhances the semantic understanding of the data, enabling more intelligent and context-aware AI applications.

GraphAI leverages GraphRAG technology to create a rich, interconnected representation of blockchain data. This knowledge graph goes beyond simple indexing by establishing semantic relationships between different data points, transactions, and blockchain states.

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Last updated 3 months ago