Technical Service Documentation
This section provides detailed technical documentation for implementing and integrating AIMatrix services in production environments. Target audience includes software developers, system architects, and DevOps engineers.
Service Categories
AI Agent Services
Agent Design Service Technical
- State machine implementation patterns
- Code generation APIs and SDKs
- Testing frameworks and methodologies
- Performance optimization techniques
- Integration with existing systems
- Custom workflow development
AI Model Training Service Technical (Coming Soon)
- MLOps pipeline implementation
- Model deployment automation
- Performance monitoring and optimization
- Custom model development workflows
Data & Knowledge Services
Knowledge Pipeline Service Technical (Coming Soon)
- Real-time data processing architectures
- ETL pipeline implementation
- Knowledge graph construction
- Vector database optimization
- Search and retrieval APIs
Data Hub Integration Service Technical (Coming Soon)
- Enterprise data source connectors
- API gateway implementation
- Data transformation pipelines
- Security and compliance patterns
Content & Communication Services
Content Publishing Service Technical (Coming Soon)
- Multi-channel publishing APIs
- Content management workflows
- Template engine implementation
- Automated content generation
Video Intelligence Service Technical (Coming Soon)
- Computer vision pipeline architecture
- Real-time video processing
- AI-powered analysis workflows
- Streaming optimization techniques
Architecture Patterns
Microservices Architecture
AIMatrix services are designed as cloud-native microservices:
┌─────────────────┐ ┌─────────────────┐ ┌─────────────────┐
│ API Gateway │────│ Load Balancer │────│ Service Mesh │
│ (Kong/Nginx) │ │ (HAProxy) │ │ (Istio) │
└─────────────────┘ └─────────────────┘ └─────────────────┘
│ │ │
└───────────────────────┼───────────────────────┘
│
┌────────────────────────────┼────────────────────────────┐
│ │ │
┌─────────┐ ┌─────────┐ ┌─────────┐
│ Agent │ │ Knowledge│ │Content │
│ Service │ │ Service │ │Service │
└─────────┘ └─────────┘ └─────────┘
│ │ │
┌─────────┐ ┌─────────┐ ┌─────────┐
│PostgreSQL│ │Vector DB │ │MongoDB │
│ │ │(Pinecone)│ │ │
└─────────┘ └─────────┘ └─────────┘
Event-Driven Architecture
Services communicate through event streams and message queues:
┌─────────────┐ ┌─────────────┐ ┌─────────────┐
│ Service │───▶│ Event │───▶│ Consumer │
│ Producer │ │ Stream │ │ Service │
└─────────────┘ │ (Kafka) │ └─────────────┘
└─────────────┘
│
┌─────────────┐
│ Event │
│ Store │
│(EventStore) │
└─────────────┘
Technical Stack
Core Technologies
- Runtime: Kubernetes, Docker
- Languages: Kotlin, Python, TypeScript, Go
- Databases: PostgreSQL, Redis, Vector Databases
- Message Queues: Apache Kafka, RabbitMQ
- API: REST, GraphQL, gRPC
- Monitoring: Prometheus, Grafana, OpenTelemetry
Development Framework
- Build System: Gradle, Docker Compose
- Testing: JUnit, pytest, Jest, Testcontainers
- CI/CD: GitHub Actions, GitLab CI, Jenkins
- Documentation: OpenAPI, AsyncAPI
- Code Quality: SonarQube, CodeQL
API Standards
REST API Design
All services follow consistent REST API patterns:
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Authentication & Authorization
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Rate Limiting
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Development Guidelines
Service Development Lifecycle
-
Design Phase
- API specification (OpenAPI)
- Architecture design review
- Security assessment
- Performance requirements
-
Implementation Phase
- Test-driven development
- Code review process
- Security scanning
- Performance testing
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Deployment Phase
- Container packaging
- Kubernetes manifests
- Configuration management
- Monitoring setup
-
Operations Phase
- Health monitoring
- Performance optimization
- Security updates
- Documentation maintenance
Code Standards
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Testing Standards
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Deployment Patterns
Kubernetes Deployment
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Security Considerations
Service-to-Service Communication
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Data Encryption
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Performance Optimization
Caching Strategies
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Database Optimization
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Monitoring & Observability
Metrics Collection
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For business-oriented service information, see our Business Service Documentation.