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
Powered by GitBook
On this page

The GraphAI Manifesto

PreviousUnleashing the Power of Blockchain Data for AINextCore Components of GraphAI

Last updated 3 months ago

GraphAI is built on the principle that blockchain data, both historic and current, holds immense value that can be unlocked through proper indexing and organization.

Our manifesto is clear: to empower developers and users with the tools to create customized, AI-ready datasets from blockchain data, enabling the development of sophisticated AI and LLM-powered dApps.

We believe that by providing a flexible framework for indexing and structuring blockchain data, we can dramatically expand the scope and intelligence of blockchain applications across various industries.