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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Future Developments

PreviousGraphRAG Lifecycle in GraphAI

Last updated 3 months ago

The GraphAI project roadmap includes:

  • Integration with emerging blockchain protocols

  • Advanced natural language processing capabilities for blockchain data

  • Development of industry-specific pre-built indexes and knowledge graphs

  • Collaborative tools for community-driven index and graph enhancements

The Blockchain Open RAG Graph (GraphAI) represents a significant advancement in how blockchain data can be utilized for AI and machine learning applications. By providing a comprehensive framework for indexing, structuring, and accessing blockchain data, GraphAI empowers developers to create the next generation of intelligent decentralized applications.

As we stand at the threshold of this new era in blockchain technology, we invite developers, researchers, and industry leaders to join us in exploring the vast potential of GraphAI. Together, we can unlock the true value of blockchain data and drive innovation across multiple sectors.

The future of AI-driven blockchain applications is here, and it's powered by GraphAI.