Comprehensive deployment guides for the Multi-Modal Academic Research System.
- Local Deployment - Development environment setup
- Docker Deployment - Containerized deployment
- OpenSearch Setup - Search engine configuration
- Production Considerations - Production deployment
Complete guide for setting up and running the application on your local machine.
Contents:
- Prerequisites and system requirements
- Virtual environment setup
- Environment configuration
- Running the application
- Running multiple instances
- Port configuration
- Development workflow
- Comprehensive troubleshooting (10+ common issues)
Best for:
- Local development
- Testing and debugging
- Learning the system
- Quick prototyping
File size: ~800 lines | 15KB
Containerization guide using Docker and Docker Compose.
Contents:
- Dockerfile creation with best practices
- Multi-service Docker Compose setup
- Volume management and data persistence
- Container orchestration and lifecycle
- Networking configuration
- Health checks and monitoring
- Performance optimization
- Troubleshooting containerized deployments
Best for:
- Consistent environments
- CI/CD pipelines
- Easy deployment across teams
- Isolated testing
File size: ~850 lines | 18KB
Deep dive into OpenSearch installation, configuration, and optimization.
Contents:
- Installation methods (Docker, native, Homebrew)
- Configuration for development and production
- Index management and optimization
- Security configuration (SSL/TLS, authentication)
- Performance tuning
- Single-node and multi-node cluster setup
- Backup and restore strategies
- Monitoring and maintenance
- Troubleshooting and debugging
Best for:
- Understanding search infrastructure
- Optimizing search performance
- Setting up production search clusters
- Data backup and recovery
File size: ~1,250 lines | 28KB
Production-ready deployment strategies and best practices.
Contents:
- Production architecture (multi-tier, multi-region)
- Scaling strategies (vertical and horizontal)
- Performance optimization (caching, connection pooling, async)
- Security hardening (authentication, network security, secrets management)
- Comprehensive monitoring and logging (ELK, Prometheus, Grafana)
- Backup strategies and disaster recovery
- High availability setup
- Load balancing (Nginx, HAProxy)
- Cost optimization
- Complete deployment checklist
Best for:
- Production deployments
- High-traffic applications
- Enterprise environments
- Mission-critical systems
File size: ~1,300 lines | 30KB
- Start with Local Deployment to understand the system
- Move to Docker Deployment for consistent environments
- Review OpenSearch Setup for search optimization
- Review Docker Deployment for containerization
- Study OpenSearch Setup for infrastructure
- Implement Production Considerations for deployment
- Read Production Considerations for architecture
- Reference OpenSearch Setup for cluster design
- Use Docker Deployment for orchestration
- Follow Local Deployment to get running in 10 minutes
- Use Docker commands from Docker Deployment for single-command deployment
All guides include:
- Complete configuration files
- Environment variable setups
- Command-line examples
- Code snippets
Comprehensive troubleshooting sections with:
- Common issues and solutions
- Debug commands
- Error explanations
- Performance tips
Security guidance including:
- SSL/TLS configuration
- Authentication and authorization
- Network security
- Secrets management
- Best practices
Monitoring setup with:
- Health checks
- Metrics collection
- Logging configuration
- Alerting setup
# Setup
python -m venv venv
source venv/bin/activate
pip install -r requirements.txt
cp .env.example .env
# Edit .env with your GEMINI_API_KEY
# Start OpenSearch
docker run -d -p 9200:9200 -e "discovery.type=single-node" opensearchproject/opensearch:latest
# Run application
python main.py# Start everything with Docker Compose
docker-compose up -d
# View logs
docker-compose logs -f
# Stop services
docker-compose downSee Production Considerations for complete production setup.
- CPU: 2 cores
- RAM: 4GB
- Disk: 10GB
- OS: macOS, Linux, or Windows
- CPU: 4+ cores
- RAM: 8GB+
- Disk: 50GB+ SSD
- OS: Linux (Ubuntu/CentOS)
- Main README:
../../README.md - Project Guidelines:
../../CLAUDE.md - API Documentation: Coming soon
- Architecture Diagrams: Coming soon
- Check the relevant guide's troubleshooting section
- Review logs:
logs/research_assistant.log - Search GitHub issues
- Create a new issue with:
- Deployment method (local/docker/production)
- Error messages
- Configuration details
- Steps to reproduce
Contributions to improve deployment documentation are welcome:
- Fork the repository
- Create a feature branch
- Make your changes
- Submit a pull request
If you find:
- Missing information
- Outdated commands
- Errors or typos
- Opportunities for improvement
Please create an issue or submit a PR.
- v1.0.0 (2025-10-02) - Initial comprehensive deployment documentation
- Local deployment guide
- Docker deployment guide
- OpenSearch setup guide
- Production considerations guide
This documentation is part of the Multi-Modal Academic Research System project.
Total documentation: 4,185 lines across 4 comprehensive guides covering every aspect of deploying the Multi-Modal Academic Research System from local development to enterprise-scale production.