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technical_architecture
Comprehensive overview of ContractAI's technical architecture and system design
This document serves as the central reference point for ContractAI's technical architecture, providing a high-level overview of the system's components and their interactions. It links to detailed architecture documents for specific subsystems.
graph TD
A[ContractAI Platform] --> B[AI Services Layer]
A --> C[Security Layer]
A --> D[Infrastructure Layer]
B --> B1[AWS Bedrock]
B --> B2[AWS Kendra]
B --> B3[AI Processing]
C --> C1[Security Framework]
C --> C2[Compliance]
C --> C3[Access Control]
D --> D1[AWS Infrastructure]
D --> D2[Deployment]
D --> D3[Operations]
style A fill:#f9f,stroke:#333,stroke-width:4px
style B fill:#bbf,stroke:#333,stroke-width:2px
style C fill:#bfb,stroke:#333,stroke-width:2px
style D fill:#fbb,stroke:#333,stroke-width:2px
The AI Services Layer handles all AI-powered contract analysis and processing capabilities.
Key Components:
- AWS Bedrock Integration
- Foundation Models (Claude 3)
- Model Management
- Inference Pipeline
- AWS Kendra Integration
- Document Processing
- Search Infrastructure
- Knowledge Base
- AI Processing Pipeline
- Data Ingestion
- Model Inference
- Result Delivery
Detailed Documentation:
The Security Layer ensures system security, compliance, and data protection.
Key Components:
- Security Framework
- Authentication
- Authorization
- Encryption
- Compliance Framework
- HIPAA Compliance
- GDPR Compliance
- Security Standards
- Access Control
- Role-Based Access
- Policy Management
- Audit Logging
Detailed Documentation:
- Security Architecture
- Compliance Documentation
- GDPR Compliance
- HIPAA Compliance
- Security Certifications
The Infrastructure Layer manages the deployment and operation of the platform.
Key Components:
- AWS Infrastructure
- Compute Resources
- Storage Systems
- Network Architecture
- Deployment Architecture
- Multi-Region
- High Availability
- Disaster Recovery
- Operations
- Monitoring
- Scaling
- Maintenance
Detailed Documentation:
- API Gateway
- REST APIs
- WebSocket Support
- Authentication
- Service Mesh
- Service Discovery
- Load Balancing
- Traffic Management
- Event Processing
- Event Bus
- Message Queues
- Stream Processing
- Data Pipeline
- Ingestion
- Processing
- Storage
- Access
- Integration Points
- External Systems
- Third-party Services
- APIs
- Compute: EC2, Lambda, Containers
- Storage: S3, RDS, DynamoDB
- Network: VPC, Security Groups, CDN
- Scalability: Auto-scaling, Load Distribution
- Availability: Multi-region, High Availability
- Performance: Response Time, Throughput, Latency
- Code Standards
- Deployment Process
- Monitoring & Logging
This technical architecture documentation is actively maintained and updated to reflect the current system architecture and implementation.
- Review architecture components
- Assess implementation status
- Plan infrastructure updates
- Monitor system performance
- Update documentation
For more information about the technical architecture, contact our technical team at [email protected] or visit our Technical Portal
- ContractAI - RAG-powered AI agents for enterprise infrastructure
- CloudOpsAI - AI-powered NOC automation platform
- fleXRP - XRP payment gateway system
- ✨ Black code formatting
- 🧪 100% test coverage
- 🔒 Automated security scanning
- 📊 SonarCloud integration
- 🤖 Dependabot enabled
- 📝 Comprehensive documentation
- GitHub Auth Library
- Datadog Dashboard Deployer
- Datadog Monitor Deployer
- Datadog Healthcheck Deployer
- Catchpoint Configurator
© 2025 fleXRPL Organization | [MIT License](https://github.com/fleXRPL/contractAI/blob/main/LICENSE)
- Enterprise AI Whitepaper
- Business Model Analysis
- RAG System Outline
- Contract AI Executive Summary
- Contract AI Use Case Extensions
- Enterprise AI Market Disconnect