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OmegaKG Ecosystem

Overview

OmegaKG is a sophisticated knowledge graph integration system combining Neo4j, PostgreSQL (pgvector), and LLM-based ingestion services to create a comprehensive memory and operation system for the ApexSigma architecture.

Repository Structure

d:/projects/OmegaKG/
├── CortexBridge/            # React/Vite Frontend Dashboard
├── InGest-LLM.as/          # Vector Ingestion Microservice (Python/FastAPI)
├── memos.MCP/              # Model Context Protocol Server (Python)
├── Omega_KG_stable/        # Core Knowledge Graph Service (Python/FastAPI)
├── OmegaVault/             # Central Knowledge Base (Obsidian Vault)
│   └── ApexSigma/
│       └── development/
│           └── projects/   # Consolidated Project Documentation
│               ├── OmegaKG/
│               ├── memos.MCP/
│               └── InGest-LLM/
├── scripts/                # Operational Scripts
│   ├── database/
│   ├── maintenance/
│   ├── operations/
│   ├── testing/
│   └── utilities/
└── tests/                  # Integration Tests

Quick Start

Prerequisites

  • Python 3.12+
  • Poetry 2.0+
  • Docker Desktop (for Redis, Neo4j, Postgres)
  • PowerShell 7+

Setup

  1. Install Dependencies:

    poetry install
  2. Start Infrastructure:

    ./scripts/operations/launch-unified.ps1
  3. Verify Status:

    python scripts/maintenance/verify-mcp-config.py

Documentation

Primary documentation is centrally located in the Vault:

Key Guides

Development Workflow

We use a strict Poetry-based workflow.

  • All Python commands must be run via poetry run <command>.
  • Use scripts/operations/launch-unified.ps1 to start services.
  • Consult agents.md before starting new tasks.

Legacy & Archives

Old documentation and reports are archived in:

  • OmegaVault/ApexSigma/development/projects/OmegaKG/archive/

Sanitized and Reorganized: 2026-01-15

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