System Architecture

Sematryx is built on a modular, service-oriented architecture designed for high-performance optimization, explainability, and continuous learning.

High-Level Overview

┌─────────────────────────────────────────────────────────────┐
│                      USER INTERFACES                         │
│  ┌─────────┐  ┌─────────┐  ┌───────────┐  ┌────────────┐  │
│  │   CLI   │  │   API   │  │ Dashboard │  │   SDK      │  │
│  └────┬────┘  └────┬────┘  └─────┬─────┘  └─────┬──────┘  │
└───────┼────────────┼──────────────┼──────────────┼─────────┘
        └────────────┴──────────────┴──────────────┘
                              │
                              ▼
┌─────────────────────────────────────────────────────────────┐
│                    PLATFORM SERVICES                         │
│  ┌──────────────────────────────────────────────────────┐  │
│  │ API Server │ Explainability │ Diagnostics │ Billing │  │
│  └──────────────────────┬───────────────────────────────┘  │
└─────────────────────────┼───────────────────────────────────┘
                          │
                          ▼
┌─────────────────────────────────────────────────────────────┐
│                  CORE OPTIMIZATION ENGINE                    │
│  ┌──────────────┐  ┌──────────────┐  ┌─────────────────┐  │
│  │  Optimizers  │◄─┤   Strategies │◄─┤  Meta-Policy    │  │
│  │  - AEAO      │  │  - CMA-ES    │  │  Learning       │  │
│  │  - Async     │  │  - DE        │  └─────────────────┘  │
│  │  - Enhanced  │  │  - Bayesian  │                        │
│  └──────┬───────┘  └──────────────┘                        │
└─────────┼───────────────────────────────────────────────────┘
          │
          ▼
┌─────────────────────────────────────────────────────────────┐
│                    AI/ML INTELLIGENCE                        │
│  ┌────────────┐  ┌────────────┐  ┌───────────────────────┐ │
│  │   Visual   │  │   Neural   │  │  Learning System      │ │
│  │Intelligence│  │  Networks  │  │  - Cross-Problem      │ │
│  └────────────┘  └────────────┘  │  - Transfer Learning  │ │
│                                   └───────────────────────┘ │
└─────────────────────────┬───────────────────────────────────┘
                          │
                          ▼
┌─────────────────────────────────────────────────────────────┐
│               KNOWLEDGE & MEMORY SYSTEMS                     │
│  ┌──────────────┐  ┌──────────────┐  ┌─────────────────┐  │
│  │Vector Memory │  │Knowledge Graph│  │ Context Intel   │  │
│  │  (Qdrant)   │  │   (Neo4j)     │  │   & Temporal    │  │
│  └──────────────┘  └──────────────┘  └─────────────────┘  │
└─────────────────────────────────────────────────────────────┘

Core Components

🔌

Platform Services

The gateway to the Sematryx ecosystem, handling request validation, billing, and the translation of raw optimization results into human-readable explanations.

  • API Server & Routing
  • Explainability Engine
  • System Diagnostics
⚙️

Optimization Engine

The mathematical heart of the system. It uses a Meta-Policy learner to dynamically select the best strategy (CMA-ES, Differential Evolution, Bayesian) for the specific problem topology.

  • Multi-Strategy Support
  • Meta-Policy Learning
  • Asynchronous Execution
🤖

AI/ML Intelligence

Advanced neural networks that provide pattern recognition and transfer learning capabilities, allowing the system to apply insights from one domain to another.

  • Visual Intelligence
  • Transfer Learning
  • Cross-Problem Adaptation
🧠

Knowledge & Memory

Long-term persistence layers that store optimization contexts and results. This "Autodidactic" memory allows Sematryx to get smarter over time.

  • Vector Memory (Qdrant)
  • Knowledge Graph (Neo4j)
  • Temporal Context