Mozi

Mozi is a multi-layered graph intelligence system, designed for semantic interoperability, online reasoning, and secure task orchestration across massive heterogeneous data.

Highlights of the technical architecture

  • Native Multi-Model Compatibility

    Layered architecture supports RDF and graphs; 12 engines ensure semantic consistency.

  • 100B+ Node Real-Time Inference

    GQL-Bridge with incremental embedding enables reasoning over 100B+ nodes, versioned DAGs.

  • Zero-Trust Security Architecture

    OPA+ReBAC provide fine-grained authorization, meeting zero-trust standards in key sectors.

Core Competencies

mozi Multi Graph System
  • Multi-Model Fusion

    • Supports RDF, Property, and Labelled Property Graphs

    • 12 engines under unified SHACL + OWL-RL semantics

  • Intelligent Reasoning

    • Query bridging: Cypher/SPARQL → Gremlin

    • Embedding: GraphSAGE + R-GCN

    • Online reasoning at billion-scale

  • Secure Orchestration

    • Auto-generates DAG task graphs

    • Fine-grained auth with OPA + ReBAC

Mozi vs Traditional Graph Engines

  • Mozi

    • Model Compatibility

      Natively supports RDF + Property Graph + Labelled Property Graph

    • Reasoning Ability

      12 engines + GNN - enhanced path ranking

    • Node Scale Support

      Real - time reasoning for tens of billions of nodes

    • Cross - Query Language Support

      GQL - Bridge automatically converts multiple languages

    • Security and Compliance

      OPA+ReBAC fine - grained authorization, zero - trust compatible

  • Traditional Graph Engines

    • Model Compatibility

      Only supports a single graph model

    • Reasoning Ability

      Basic rule - based reasoning, without deep - learning integration

    • Node Scale Support

      Performance bottlenecks occur with tens of millions of nodes

    • Cross - Query Language Support

      Only supports a single query language

    • Security and Compliance

      Basic role - based permissions, no cross - domain security design

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