Node RAG System

A Retrieval-Augmented Generation (RAG) system built with Node.js, React, and AWS services.

Features

• Document upload and storage using Amazon S3
• Vector-based document search using Amazon Bedrock Knowledge Base
• User authentication with Amazon Cognito
• React-based frontend for intuitive user interaction
• Express.js backend for API handling

Prerequisites

• Node.js (v16 or higher)
• AWS Account with appropriate permissions
• AWS CLI configured with credentials
• npm or yarn package manager

Environment Setup

1. Create a .env file in the root directory with the following variables:

AWS_REGION=your-region
AWS_ACCESS_KEY_ID=your-access-key
AWS_SECRET_ACCESS_KEY=your-secret-key
S3_BUCKET_NAME=your-bucket-name
COGNITO_USER_POOL_ID=your-user-pool-id
COGNITO_CLIENT_ID=your-client-id

Installation

1. Clone the repository
2. Install dependencies:

npm install

3. Start the development server:

npm run dev

Project Structure

project-root/
├── frontend/          # React application
├── backend/           # Node.js Express server
├── infrastructure/    # Infrastructure as Code (IaC) scripts
├── data/             # Source documents for the knowledge base
└── README.md

Development

• Backend runs on http://localhost:3000
• Frontend runs on http://localhost:3001

Security

• All AWS credentials should be managed through environment variables
• Use AWS Secrets Manager for sensitive information
• Implement proper IAM roles and policies
• Enable encryption at rest and in transit

License

MIT