Portfolio RAG - Paul Deveaux

This project is an AI-powered portfolio platform, composed of three main modules: backend (Python), CMS (Strapi), and frontend (React/Next.js).

Project Structure

• backend/: Python API (FastAPI) for chatbot and email management.
• cms/: Headless CMS (Strapi) for administration and content management.
• frontend/: Next.js web application for portfolio display.

Prerequisites

• Node.js & npm/yarn
• Python 3.11+
• Docker (optional for deployment)

Installation

Backend

cd backend
uv sync
uv run 

CMS

npm run build
npm run start

Frontend

cd frontend
npm run build
npm run start

Environment Variable Configuration

Each module (backend, cms, frontend) contains a .env.example file listing the required environment variables for configuration.
To activate the configuration, copy the .env.example file to .env in each folder and fill in the appropriate values:

cp .env.example .env

Example:

• backend/.env.example → backend/.env
• cms/.env.dev.example → cms/.env.dev
• frontend/.env.example → frontend/.env

Variables to set generally include database access, API keys, email settings, etc.
Never version the .env file containing secrets.

There is also a .env file for docker compose, defined at the root of the project:

• ./.env-compose.example → ./.env-compose

Usage

• Access the frontend via http://localhost:3000
• Manage content via the CMS at http://localhost:1337 (or the configured port)
• The backend API is available at http://localhost:8000

Deployment

A compose.yaml file is provided at the root to launch all services with Docker:

docker compose up

Features

• Dynamic portfolio with project, skills, and experience management
• AI chatbot for visitor interaction
• Email and document management
• Full administration via the CMS

License

© 2025 Paul Deveaux | All rights reserved.
This project is provided for consultation only.
Any use, modification, reproduction, or distribution is prohibited without the express permission of the author.

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Paul Deveaux