docs/deployed.md

Production Deployment Status

🚀 Current Deployment

Live Application URL: https://huggingface.co/spaces/msse-team-3/ai-engineering-project

Demo Video URL: TBD - Record 5-10 minute screen-share demonstration showing:

• RAG application functionality
• Policy questions and responses with citations
• Design decisions and architecture overview
• Evaluation results walkthrough
• CI/CD pipeline demonstration

📋 Submission Requirements

GitHub Repository: https://github.com/sethmcknight/msse-ai-engineering

• Shared with quantic-grader GitHub account
• Contains complete codebase with documentation
• Includes design-and-evaluation.md with design decisions and evaluation summary

Demo Video Requirements:

• 5-10 minutes duration
• Screen-share format with voiceover
• Show application features and functionality
• Walk through design decisions and evaluation
• All group members must appear on camera and speak
• All group members must show government ID

Evaluation Dataset: 20 questions with gold answers

• evaluation/questions.json - Evaluation questions
• evaluation/gold_answers.json - Expected answers with source attributions
• Covers policy topics: PTO, security, expenses, remote work, benefits, etc.

Key Features Demonstrated:

• ✅ RAG pipeline with source citations
• ✅ Guardrails (refuse off-corpus, length limits, always cite sources)
• ✅ CI/CD deployment pipeline
• ✅ Comprehensive evaluation framework
• ✅ Production deployment on HuggingFace Spaces