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System Architecture Design Document

Part 1: System Categorization and Overview​

Workflow Checklist​

  • Prerequisites verified
  • Configuration applied
  • Process executed
  • Results validated
  • Documentation updated

Workflow Steps​

  1. Initialize - Set up the environment
  2. Configure - Apply settings
  3. Execute - Run the process
  4. Validate - Check results
  5. Complete - Finalize workflow

Workflow Phases​

Phase 1: Initialization​

Set up prerequisites and validate inputs.

Phase 2: Processing​

Execute the main workflow steps.

Phase 3: Verification​

Validate outputs and confirm completion.

Phase 4: Finalization​

Clean up and generate reports.

1. System Categorization​

A. System Classification​

Primary Type: Distributed Document Processing System
Secondary Types:
- Vector Search Engine
- Real-time Monitoring System
- Metrics Collection Platform
- Alert Management System

B. Architectural Patterns​

1. Core Patterns
   - Microservices Architecture
   - Event-Driven Architecture
   - Repository Pattern
   - Clean Architecture
   - CQRS (Command Query Responsibility Segregation)

2. Data Patterns
   - Vector Storage Pattern
   - Document Chunking Pattern
   - Time Series Data Pattern
   - Graph Relationship Pattern

3. Integration Patterns
   - API Gateway Pattern
   - Publisher/Subscriber Pattern
   - Circuit Breaker Pattern
   - Bulkhead Pattern

C. System Categories By Function​

  1. Document Processing

    Category: Core Business Logic
    Patterns: 
    - Pipeline Processing
    - Chunking Strategy
    - Async Processing
    - Vector Embedding

  2. Search & Retrieval

    Category: Information Retrieval
    Patterns:
    - Vector Search
    - Graph Traversal
    - Semantic Analysis
    - Context Preservation

  3. Monitoring & Metrics

    Category: System Operations
    Patterns:
    - Time Series Collection
    - Real-time Analytics
    - Metric Aggregation
    - Alert Management

  4. API & Integration

    Category: System Integration
    Patterns:
    - REST Architecture
    - Event Streaming
    - Message Queue
    - State Management

2. Concept Tag Cloud​

A. Core Concepts​

#DocumentProcessing #VectorSearch #GraphRAG #AsyncProcessing
#DistributedSystems #EventDriven #Microservices #CleanArchitecture

B. Technical Concepts​

#PostgreSQL #pgvector #FastAPI #React #Redis
#AsyncIO #UUIDTracking #VectorEmbeddings #GraphTraversal

C. Operational Concepts​

#RealTimeMonitoring #MetricsCollection #AlertManagement
#LoadBalancing #FaultTolerance #HighAvailability

D. Integration Concepts​

#APIGateway #MessageQueue #EventStreaming #StateManagement
#CircuitBreaker #RateLimiting #Authentication

E. Data Concepts​

#VectorStorage #DocumentChunking #TimeSeriesData
#GraphRelationships #DataCompression #Caching

F. Quality Concepts​

#Scalability #Reliability #Maintainability #Performance
#Security #Observability #Testability

3. High-Level Outline​

A. System Overview​

B. Core Components​

  1. Frontend Layer

    - Dashboard Application
    - Real-time Monitoring
    - Configuration Interface
    - Alert Management

  2. API Layer

    - API Gateway
    - Authentication
    - Rate Limiting
    - Request Routing

  3. Processing Layer

    - Document Processor
    - Chunk Manager
    - Vector Generator
    - Relationship Builder

  4. Storage Layer

    - Document Store
    - Vector Store
    - Graph Store
    - Metrics Store

  5. Background Layer

    - Task Queue
    - Workers
    - Schedulers
    - Event Handlers

C. Cross-Cutting Concerns​

  1. Security

    - Authentication
    - Authorization
    - Data Encryption
    - Audit Logging

  2. Monitoring

    - Performance Metrics
    - Health Checks
    - Alert System
    - Log Aggregation

  3. Scalability

    - Load Balancing
    - Horizontal Scaling
    - Cache Strategy
    - Connection Pooling

  4. Reliability

    - Fault Tolerance
    - Circuit Breaking
    - Data Replication
    - Backup Strategy

D. Integration Points​

  1. External Services

    - Vector Embedding Services
    - Notification Services
    - Storage Services
    - Monitoring Services

  2. Internal Services

    - Message Queue
    - Cache Service
    - Search Service
    - Metrics Service

  3. Client Integration

    - REST API
    - WebSocket
    - Event Streams
    - Batch Processing

E. Deployment View​

  1. Infrastructure

    - Container Orchestration
    - Service Mesh
    - Load Balancers
    - Network Policy

  2. Monitoring Stack

    - Metrics Collection
    - Log Aggregation
    - Tracing System
    - Alert Manager

  3. Data Infrastructure

    - Database Clusters
    - Cache Clusters
    - Message Brokers
    - Storage Systems

Would you like me to:

  1. Create Part 2 focusing on detailed component design?
  2. Expand any section of Part 1?
  3. Create detailed diagrams for specific components?
  4. Develop specific technical specifications?