RAG AI Chat

RAG AI Chat is an intelligent document assistant that lets you upload documents or add web sources, then chat with an AI to extract insights and answer questions based on your content. Built with Elysia, Bun, and modern embedding models.

Features

• Upload PDF, Markdown, or Text files as knowledge sources
• Add web pages as sources
• Chat with an AI assistant over your custom knowledge base
• Fast, modern UI (HTMX, Marked.js)
• Health check and configuration endpoints

Getting Started

Prerequisites

• Bun v1.3.1 or later
• Node.js 18+ (for some dependencies)

Installation

Clone the repository and install dependencies:

git clone https://github.com/rohit267/rag-ai-chat.git
cd rag-ai-chat
bun install

Environment Variables

Copy .env.example to .env and update values as needed:

cp .env.example .env

See .env.example for all available configuration options (OpenAI, embeddings, uploads, etc).

Running the App

# Development
bun run dev

# Production
bun run start

The app will be available at http://localhost:3000 by default.

Project Structure

• src/ — Main application code
  • main.ts — Elysia server and API endpoints
  • config/app.config.ts — Configuration and environment variables
  • services/ — Database, file upload, and RAG logic
• public/ — Frontend HTML and assets
• uploads/ — Uploaded files
• store/ — Vector database

License

This project is licensed under the MIT License. See LICENSE for details.