Templates, examples, and materials to get you started quickly
After completing Stages 1-5, use these interfaces to interact with your research papers
Run directly in Claude Code. No setup needed. Best for iterative research.
Web GUI with chat history, export features, and paper statistics.
REST API server for building custom frontends. Full documentation.
📚 Note: These interfaces require a Vector DB built using ScholaRAG Stages 1-5. See the Implementation Guide to get started.
Define research scope, questions, and constraints
Design boolean queries, choose data sources
Build multi-dimensional screening criteria
PDF acquisition, text extraction, vector DB setup
Run pipeline, troubleshoot, validate results
Clone the complete repository to access all resources and start building your RAG system
git clone https://github.com/HosungYou/ScholaRAG.git
cd ScholaRAG
pip install -r requirements.txt
code .