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

Abstract

Blockchain Open RAG Graph

The Blockchain Open RAG Graph (Graphai) introduces a revolutionary approach to blockchain data utilization, enabling developers and users to create powerful AI-driven decentralized applications (dApps).

By indexing both historic and dynamic blockchain data, Graphai facilitates the creation of customized sub-indexes stored in vector databases, complemented by a comprehensive knowledge graph.

This innovation opens up new possibilities for leveraging blockchain data in AI and machine learning applications, particularly for Large Language Models (LLMs).

NextUnleashing the Power of Blockchain Data for AI

Last updated 5 months ago

Page cover image