🚀 Longevity AI - Your AI-Powered Health & Longevity Coach

An intelligent conversational AI application designed to provide evidence-based guidance on longevity, healthspan optimization, and wellness. Built with advanced RAG (Retrieval Augmented Generation) technology and powered by expert knowledge from leading longevity researchers.

✨ Features

🧠 Intelligent Conversation

• Context-Aware Chat: Maintains conversation history for natural, flowing discussions
• Expert Knowledge: Trained on content from Dr. Peter Attia, Dr. Gabrielle Lyon, and other longevity experts
• Personalized Responses: Adapts answers based on conversation context and user needs

📚 Comprehensive Knowledge Base

• Book Summaries: Key insights from "Outlive", "Forever Strong", and other longevity books
• Web Articles: Curated content from trusted health and longevity websites
• Semantic Chunking: Intelligent document splitting that preserves logical structure
• Rich Metadata: Detailed source tracking and content categorization

🎯 Core Expertise Areas

• Exercise & Training: VO2 max, Zone 2 training, strength protocols, stability work
• Nutrition Science: Evidence-based dietary strategies for metabolic health
• Sleep Optimization: Protocols for improving sleep quality and duration
• Stress Management: Techniques for mental health and resilience
• Disease Prevention: Focus on the "Four Horsemen" of chronic disease
• Biomarkers: Understanding key health metrics and their significance

🛡️ Safety & Ethics

• Medical Disclaimers: Clear boundaries on medical advice
• Evidence-Based: Only recommendations supported by research
• European Units: Metric system for all measurements
• Professional Standards: Balanced, realistic health guidance

🛠️ Technologies Used

• Python: Core application development
• LangChain: RAG pipeline and document processing
• OpenAI GPT-4: Advanced language model for responses
• Gradio: Interactive web interface
• Supabase + pgvector: Vector database for semantic search
• Markdown Processing: Intelligent content parsing and chunking

📁 Project Structure

longevity-ai/
├── config/
│   ├── system_message.txt      # AI personality and guidelines
│   └── web_sources.json        # Curated web content sources
├── downloads/
│   └── books/                  # Book summaries in markdown format
├── src/
│   ├── document_loaders.py     # Content loading utilities
│   └── vector_store_setup.py   # Database initialization
├── app.py                      # Main Gradio application
├── requirements.txt            # Python dependencies
└── README.md                   # This file

🚀 Quick Start

Prerequisites

• Docker and Docker Compose installed
• Git
• OpenAI API key
• Supabase account (for vector database)

Installation

1. Clone and Start (2 commands!)

# Clone and enter the project
git clone https://github.com/ruthiel/longevity-ai.git
cd longevity-ai

# Start the application
docker-compose up --build

2. Configure environment variables

Create a .env file in the root directory:

OPENAI_API_KEY=your_openai_api_key
SUPABASE_URL_API=your_supabase_url
SUPABASE_KEY=your_supabase_anon_key

3. Set up Supabase database

In your Supabase SQL Editor, run:

-- Enable vector extension
create extension vector;

-- Create documents table
create table longevity_knowledge (
  id bigserial primary key,
  content text,
  embedding vector(1536),
  source text,
  metadata jsonb
);

-- Create index for faster similarity search
create index on longevity_knowledge 
using ivfflat (embedding vector_cosine_ops)
with (lists = 100);

4. Access the application

Open your browser and go to: http://localhost:8888

📖 Knowledge Sources

Our knowledge base includes carefully curated content from:

📚 Books

• "Outlive" by Dr. Peter Attia - Comprehensive longevity framework
• "Forever Strong" by Dr. Gabrielle Lyon - Muscle-centric health approach
• Additional longevity and health optimization books

🌐 Web Content

• Expert websites and research institutions
• Peer-reviewed articles and studies
• Trusted health and longevity publications

💡 Usage Examples

Basic Health Questions

User: "How can I improve my sleep quality?"
AI: "Great question! Sleep is one of the fundamental pillars of longevity 😴

Quality sleep optimization involves several key strategies:
• Sleep hygiene protocols 🌙
• Temperature regulation (16-19°C optimal)
• Light exposure management
• Stress reduction techniques

[Detailed evidence-based recommendations follow...]"

Follow-up Context

User: "What supplements help with that?"
AI: "For sleep optimization specifically, here are evidence-backed supplements:
• Magnesium glycinate (200-400mg before bed)
• Melatonin (0.5-3mg, 30-60 minutes before sleep)
• L-theanine (100-200mg for relaxation)

[Context-aware response continues...]"

🔧 Advanced Features

Intelligent Document Processing

• Semantic Chunking: Preserves logical document structure
• Metadata Enrichment: Tracks source, author, section, and processing details
• Context-Aware Retrieval: Uses conversation history for better search results

Conversation Management

• Memory Limitation: Configurable history length to manage token usage
• Context Continuity: References previous topics naturally
• Source Attribution: Transparent about information sources

🔮 Roadmap

Near Term

• Enhanced source citation display
• User preference customization
• Mobile-responsive interface improvements
• Additional expert content integration

Future Enhancements

• Personal health data integration
• Custom protocol generation
• Multi-language support
• API endpoints for third-party integration
• Advanced analytics and insights

🤝 Contributing

We welcome contributions to improve Longevity AI! Please:

1. Fork the repository
2. Create a feature branch (git checkout -b feature/amazing-feature)
3. Commit your changes (git commit -m 'Add amazing feature')
4. Push to the branch (git push origin feature/amazing-feature)
5. Open a Pull Request

Content Contributions

• High-quality, evidence-based health content
• Expert interviews and summaries
• Research paper summaries
• Protocol documentation

🛠️ Stop the Application

docker-compose down

⚖️ Disclaimer

Important: This application provides educational information only and is not intended as medical advice. Always consult with qualified healthcare professionals before making any health-related decisions or changes to your lifestyle.

🙏 Acknowledgments

Special thanks to:

• Dr. Peter Attia - For groundbreaking longevity research and protocols
• Dr. Gabrielle Lyon - For muscle-centric health insights
• LangChain Community - For excellent RAG framework tools
• OpenAI - For advanced language model capabilities
• Supabase Team - For vector database infrastructure

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

📧 Contact

Ruthiel Trevisan - @ruthiel

Project Link: https://github.com/ruthiel/longevity-ai

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Building the future of personalized longevity guidance, one conversation at a time.