ScholaRAG

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An open-source platform for creating RAG-based literature review tools. From academic papers to systematic research in hours, not weeks.

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From zero to production

Everything you need

Interactive Documentation

Step-by-step guides with code examples and best practices for building RAG systems

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AI-Powered Chatbot

Get instant answers about ScholaRAG with Claude Sonnet 4.5 integration

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Quick Start Guide

Get started in minutes with step-by-step setup instructions and configuration

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Core Concepts

Deep dive into AI-PRISMA screening, RAG architecture, and research workflows

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Quick Start

  1. 01Clone the repository and install dependencies
  2. 02Configure your API keys and environment
  3. 03Follow the 7-stage workflow in VS Code
  4. 04Deploy your custom RAG system
# Install ScholaRAG
git clone https://github.com/HosungYou/ScholaRAG.git
cd ScholaRAG
pip install -r requirements.txt
# Open in VS Code
code .

Built with modern tools

Claude 4.5
Sonnet API
ChromaDB
Vector database
LangChain
RAG framework
Python
Backend stack
Next.js
Frontend
Tailwind CSS
Styling
Vercel
Deployment
TypeScript
Type safety

Ready to transform your research workflow?

Join researchers worldwide saving 67-75% of literature review time with AI-powered tools.

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