RAG Project

A Retrieval-Augmented Generation (RAG) implementation with both standalone and client-server versions.

Project Versions

v0.2 - Streamlined Version

rag-chat/
├── backend/
│   ├── requirements.txt
│   ├── main.py
│   └── src/
│       ├── __init__.py
│       ├── document_loader.py
│       ├── embeddings.py
│       └── rag_engine.py
├── frontend/
│   ├── package.json
│   ├── tailwind.config.js
│   ├── index.html
│   └── src/
│       ├── App.jsx
│       ├── index.css
│       └── main.jsx
└── README.md

Installation

1. Clone the repository

git clone <url>

2. Create a Virtual Environment

python3 -m venv venv
source venv/bin/activate

3. Install Dependencies

Install the required Python packages:

pip install -r requirements.txt

Components

Backend

• Document loading and processing
• Vector embedding generation
• RAG implementation
• FastAPI server (v0.1+)

Frontend (v0.1+)

• React-based user interface
• Chatbot component
• Tailwind CSS styling

Start Model

ollama serve

Start the frontend

cd frontend npm install # If you haven't installed dependencies yet npm run dev

Start the backend

cd backend python main.py