ScholaRAG

Build AI-Powered
_

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

Get Started
0 min
Setup to deployment
0%
Time saved on review
0 stages
From zero to production

Everything you need

Interactive Documentation

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

Learn more

Ready-to-Use Templates

Pre-configured workflows for PRISMA reviews, meta-analysis, and systematic research

Learn more

Video Tutorials

Visual walkthroughs of the complete 7-stage research workflow

Learn more

Open Source & Extensible

MIT licensed framework you can customize and extend for your specific research needs

Learn more

Quick Start

  1. 01Install VS Code + Claude Code extension
  2. 02Copy-paste setup prompt to Claude Code
  3. 03Answer questions about your research
  4. 04Let Claude automate the entire workflow
# Copy-paste this to Claude Code
Please set up ScholaRAG for me:
1. Clone https://github.com/HosungYou/ScholaRAG.git
2. Create Python virtual environment
3. Install dependencies: pip install click pyyaml
4. Initialize project: python scholarag_cli.py init

Built with modern tools

Claude 3.5
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.

Start BuildingView on GitHub