rest_rag is a lightweight Retrieval-Augmented Generation (RAG) chat application built with Django REST Framework. Users can upload documents and chat with an AI assistant that understands and responds based on the uploaded content.

• 🔐 User authentication (Login/Register)
• 📄 Document upload with parsing
• 💬 Chat interface with context-aware responses
• 🧠 RAG pipeline for document-based Q&A
• ⚙️ Django REST API backend
• 🎨 Simple HTML(Django template) frontend

• Backend: Django, Django REST Framework
• AI/NLP: Groq(OpenAI API) and ChromaDB
• Database: PostgreSQL

git clone https://github.com/Duks31/django_rag
cd rest_rag

# Create virtual environment
python -m venv venv
venv\Scripts\activate

# Install dependencies
pip install -r requirements.txt

# Apply migrations
python manage.py migrate

# Run the server
python manage.py runserver