VectorSets Face Similarity Demo

This project demonstrates face similarity search using Redis VectorSets. It features a Next.js frontend, a Node.js backend, and AI-powered face embedding capabilities.

Quick Start

# Clone the repository
git clone https://github.com/redis-developer/vectorsets-face-similarity-demo.git
cd vectorsets-face-similarity-demo

Docker Setup (Recommended)

Prerequisites

• Docker and Docker Compose installed

Start Services

# Start all services
docker-compose up --build

# Stop all services
docker-compose down

Environment Configuration (Optional)

Modify these files to change default configurations:

• backend/.env.docker
• frontend/.env.docker

Access URLs

• Frontend: http://localhost:3000
• Backend: http://localhost:3001
• Redis: localhost:6379

Database

The database is automatically loaded with the database/redis-data/dump.rdb file when using Docker.

For more detailed Docker instructions, see DOCKER_README.md.

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🔧 Local Development Setup

Prerequisites

• Node.js installed
• Redis server running

Backend Setup

cd backend
npm install
npm run dev

Optional: Update backend/.env file to change default configurations.

Frontend Setup

cd frontend
npm install
npm run dev

Optional: Update frontend/.env file to change default configurations.

Database Setup

Use database/redis-data/dump.rdb as the Redis database.