This repository contains the Knowledge Organization Infrastructure (KOI) implementation for RegenAI, integrating BlockScience's KOI v3 protocol with Regen Network's metabolic ontology to create a distributed knowledge management system.
100% Complete - Full KOI sensor-to-agent pipeline operational and tested
- Complete KOI Pipeline: End-to-end flow from sensors to agents fully operational
- KOI Event Bridge v2: Real-time processing with RID-based deduplication and versioning
- BGE Server Integration: 1024-dimensional embeddings generated via HTTP API
- PostgreSQL Direct Storage: Immediate integration with Eliza agent database using isolated tables
- Real-time Processing: Content processed and available within seconds of ingestion
- Agent RAG Access: Processed content immediately accessible for agent queries
- CAT Receipt Generation: Complete transformation provenance tracking operational
- Production Deployment: Full pipeline tested and verified with real content processing
- Performance Metrics: Real-time processing, immediate agent availability, complete audit trails
- Apache Jena Fuseki integration with 3,851+ RDF triples
- D3.js interactive graph visualization (326+ entities)
- Metabolic entity extraction from 1,100+ documents
- JSON-LD to TTL conversion pipeline
- Ontological research and unified taxonomy development
🎯 KOI Master Implementation Guide - PRIMARY REFERENCE
Complete consolidated guide (Version 1.1) covering:
- KOI v3 protocol implementation with FULL/PARTIAL nodes
- Sensor, processor, and coordinator node architecture
- Entity resolution and deduplication strategies
- Complete end-to-end knowledge flow
- Integration with ElizaOS agents
- Next phase: KOI network implementation
- APACHE_JENA_INTEGRATION.md - Apache Jena Fuseki integration details
- ONTOLOGY-AS-KNOWLEDGE-GRAPH.md - Ontological innovation (consolidated)
- ResearchonVisualizingRDFKnowledgeGraphs.md - RDF visualization research
- local-model-comparison.md - Local model performance analysis
Note: Individual documents preserved for reference, but Master Guide is the primary source of truth.
- Dual Identification System: RIDs for semantic identity + CIDs for deduplication
- Transformation Provenance: Track every operation with CAT receipts
- Apache Jena RDF Store: Semantic reasoning with W3C standards compliance
- Separation of Concerns: Standalone KOI Processor separate from agents
- Phased Implementation: MVP in 2 weeks, full system in 12 weeks
- Weeks 1-2: Foundation (RID/CID, CAT receipts)
- Weeks 3-4: Processing Pipeline (modular stages, cost optimization)
- Weeks 5-6: Knowledge Graph (Apache Jena + RDF deployment)
- Weeks 7-8: Sensor Network (real-time monitoring)
- Weeks 9-10: Agent Integration (all 5 agents on KOI)
- Weeks 11-12: Registry Framework Integration (SPARQL endpoints, federation)
koi-research/
├── README.md # This file
├── KOI_COMPLETE_RESEARCH.md # Main comprehensive document
└── sources/ # Research sources
└── blockscience/
├── koi/ # KOI main repo
├── koi-net/ # KOI-net implementation
└── rid-lib/ # RID library
To begin implementation:
- Review the complete research document
- Set up KOI Processor Node (Week 1)
- Implement dual identification system
- Create transformation receipts
- Test with one agent
🚀 BREAKTHROUGH ACHIEVEMENT - Complete KOI sensor-to-agent pipeline operational ✅ Production Deployment - KOI Event Bridge v2 with deduplication processing sensors through BGE to PostgreSQL ✅ Real-time Processing - Content flows from sensors to agent access in seconds ✅ BGE Integration - 1024-dimensional embeddings via dedicated HTTP API server ✅ Agent Integration - Direct RAG query access to processed KOI content ✅ Complete Provenance - CAT receipts track every transformation step ✅ Research Foundation - Ontological framework supporting production implementation 🎯 100% Complete KOI Pipeline - Production Ready and Tested
- Complete KOI Implementation: Full sensor-to-agent pipeline operational and tested
- KOI Event Bridge v2: Real-time processing with RID-based deduplication and versioning
- BGE Server Integration: Dedicated HTTP API generating 1024-dimensional embeddings
- PostgreSQL Direct Storage: Immediate agent database integration with pgvector
- Real-time Agent Access: Content available for RAG queries within seconds of processing
- CAT Receipt System: Complete transformation provenance tracking operational
- Production Architecture: FastAPI-based services with async processing and error handling
- Research Foundation: 36-class unified ontology with OWL compliance
- Knowledge Graph: Apache Jena integration with 3,851+ RDF triples
- End-to-End Testing: Complete pipeline verified with real content processing
- Apache Jena + Fuseki SPARQL server for RDF storage and reasoning
- OWL ontologies for semantic modeling and automated inference
- SPARQL endpoints for Registry Framework integration
- JSON-LD for semantic web compatibility
- Provenance tracking with RID/CID dual identification
For Regen Network's regenerative AI infrastructure initiative