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Deployment Checklist ✅

Complete checklist for deploying Graph RAG Chatbot to production.

Pre-Deployment

Local Testing

  • Clone/download project
  • Install Python 3.8+ (local) or Docker
  • Create .env file with GROQ_API_KEY
  • Test locally: python app.py or docker-compose up
  • Upload test document
  • Verify graph visualization
  • Test chat query
  • Check all features work

Code Review

  • Review app.py for security issues
  • Check requirements.txt for vulnerabilities
  • Verify no sensitive data in code
  • Test error handling
  • Check API endpoints with curl/Postman

Dependencies

  • All requirements.txt packages up-to-date
  • Python 3.8+ available
  • Docker installed (for deployment)
  • 2GB+ disk space available
  • Internet connection for model downloads

Docker Build (if using Docker) 

# Build image
docker build -t graph-rag-chatbot .
  • Dockerfile is valid syntax
  • Base image (python:3.11-slim) available
  • All COPY commands reference correct files
  • EXPOSE 7860 is present
  • CMD uses python app.py

Build Verification

  • Build completes without errors
  • No warnings about deprecated packages
  • Image size reasonable (~2.5GB uncompressed)
  • Image runs without crashes

Hugging Face Spaces Deployment

Space Creation

  • Create new Space at https://huggingface.co/spaces
  • Set SDK to "Docker"
  • Space name: graph-rag-chatbot
  • Visibility: Public (or Private as needed)
  • License: MIT (or your choice)

File Upload via Git 

git clone https://huggingface.co/spaces/USERNAME/graph-rag-chatbot
cd graph-rag-chatbot
# Copy all files
git add .
git commit -m "Initial Graph RAG deployment"
git push
  • All required files copied to Space
    • app.py
    • Dockerfile
    • requirements.txt
    • templates/index.html
    • .dockerignore
  • .env NOT uploaded (security)
  • Git push successful
  • HF Spaces build initiated

Secret Management

  • Go to Space Settings
  • Click "Repository secrets"
  • Add secret:
    • Name: GROQ_API_KEY
    • Value: Your actual Groq API key (from console.groq.com)
  • Secret saved (verify by refreshing page)
  • Space auto-restarts with secret

Post-Deployment

Local Docker Deployment

Docker Compose 

# Copy environment template
cp .env.example .env

# Edit .env with your GROQ_API_KEY

# Start services
docker-compose up -d

# Verify running
docker-compose ps
  • .env file created
  • GROQ_API_KEY set in .env
  • docker-compose.yml is valid YAML
  • Services start without errors
  • Port 7860 mapped correctly

Container Verification

AWS/Cloud Deployment (if applicable)

Choose Service

  • ECS (Elastic Container Service)
    • ECR registry created
    • Docker image pushed to ECR
    • Task definition created
    • Service configured for auto-scaling
  • Or: Lightsail, AppRunner, Beanstalk

Environment Setup

  • RDS/Database (if using persistent storage)
  • S3 bucket for data storage
  • IAM roles configured
  • Secrets Manager for GROQ_API_KEY
  • CloudWatch logs enabled

Networking

  • VPC configured
  • Security groups allow 7860
  • Load balancer configured (if multi-instance)
  • SSL/TLS certificate (HTTPS)
  • Domain name configured

Deployment

  • Docker image built and pushed
  • Service deployed to ECS/AppRunner
  • Application accessible via URL
  • Health checks passing
  • Logs visible in CloudWatch

Performance Optimization

Before Production

  • Gunicorn configured (instead of Flask dev server)
  • Multiple workers configured (4-8)
  • Timeout settings appropriate (30s)
  • Cache headers configured
  • Gzip compression enabled

Infrastructure

  • CPU: 2vCPU minimum
  • RAM: 4GB minimum (8GB recommended)
  • Disk: 10GB available (for models + data)
  • Network: 100Mbps+ for model downloads

Monitoring

  • Application metrics exported
  • Error logging configured
  • Request logs enabled
  • Uptime monitoring set up
  • Alert thresholds configured

Security Hardening

API Security

  • GROQ_API_KEY never exposed to frontend ✅
  • CORS configured (restrict if possible)
  • Rate limiting implemented (if needed)
  • Input validation on file uploads ✅
  • File size limits enforced (50MB) ✅

Data Security

  • Uploaded files validated (file type check)
  • Sensitive data not logged
  • Database connections encrypted (if DB)
  • SSL/TLS for API calls ✅
  • Data retention policy defined

Container Security

  • Non-root user in Dockerfile (if not slim image)
  • Minimal base image (python:3.11-slim) ✅
  • No debug ports exposed
  • Health checks configured ✅
  • Resource limits set (CPU, memory)

Deployment Security

  • Environment variables used for secrets (not hardcoded)
  • .env file in .gitignore ✅
  • CI/CD pipeline secured (if using)
  • Access logs monitored
  • Regular security patches applied

Post-Deployment Testing

Functionality

  • Homepage loads correctly
  • File upload works (test CSV, PDF, TXT)
  • Progress bar updates in real-time
  • Document status changes: queued → processing → ready
  • Graph visualization displays
  • Chat query returns results
  • Document deletion works
  • Multiple uploads work simultaneously

Performance

  • Small file (< 5MB) processes in < 10s
  • Query responds in < 5s
  • Graph loads in < 1s
  • UI responsive (no freezing)
  • Concurrent users don't block each other

Error Handling

  • Invalid file types rejected gracefully
  • Large files (> 50MB) rejected
  • Missing GROQ_API_KEY shows error
  • Empty queries handled
  • Deleted documents don't cause errors

Mobile Testing

  • Layout responsive on mobile
  • Touch interactions work
  • Upload works on mobile
  • Chat works on mobile
  • No console errors

Monitoring & Maintenance

Continuous Monitoring

  • Application logs monitored
  • Error rate < 1%
  • Response time < 5s (p95)
  • Uptime > 99.9%
  • CPU usage < 80%
  • Memory usage < 80%
  • Disk usage monitored

Regular Maintenance

  • Weekly log review
  • Monthly security updates
  • Quarterly dependency updates
  • Backup strategy defined
  • Disaster recovery plan

User Support

  • FAQ page created (in docs)
  • Support contact listed
  • Issue tracking setup
  • User feedback mechanism
  • Documentation complete

Documentation

External Documentation

  • README.md complete ✅
  • QUICKSTART.md updated ✅
  • API documentation available ✅
  • Deployment guide for your platform
  • Troubleshooting guide
  • FAQ page

Internal Documentation

  • Architecture documented ✅
  • Database schema (if applicable)
  • API endpoint specs
  • Configuration options documented ✅
  • Development guide

Communication

Team/Stakeholders

  • Deployment announcement sent
  • Release notes prepared
  • Stakeholders notified of deployment
  • SLA/uptime guarantees communicated
  • Support process documented

Users

  • App URL shared
  • Getting started guide linked
  • Feature highlights documented
  • Known limitations listed
  • Feedback channel provided

Final Checklist

Must-Have

  • App running and accessible
  • Document upload works
  • Knowledge graph generates
  • Chat queries work
  • No critical errors in logs
  • GROQ_API_KEY securely configured

Should-Have

  • All tests passing
  • Documentation complete
  • Performance acceptable
  • Security hardened
  • Monitoring active

Nice-to-Have

  • Mobile app version
  • Advanced analytics
  • API clients (Python, JS)
  • Tutorial videos
  • Community forum

Sign-Off

Item Person Date Notes
Code Review
Testing
Security Review
Performance Review
Deployment
Verification

Post-Launch

Day 1

  • Monitor application closely
  • Check error rates
  • Verify all features working
  • Monitor performance metrics
  • Be ready to rollback if needed

Week 1

  • Collect user feedback
  • Monitor performance trends
  • Check for any issues
  • Optimize if needed
  • Document any learnings

Month 1

  • Full performance analysis
  • User adoption metrics
  • Plan improvements
  • Schedule next release
  • Review and update documentation

Deployment Ready? Check mark all items above before deploying to production!

Quick Reference

Environment Command URL
Local python app.py http://localhost:7860
Docker docker-compose up -d http://localhost:7860
HF Spaces Git push to Space https://huggingface.co/spaces/USERNAME/graph-rag-chatbot

Need help? See README.md or QUICKSTART.md

Last Updated: June 27, 2024 Version: 1.0.0