CosmosPapers

cosmospapers.com | Discord

CosmosPapers is a full-stack research paper aggregation and discovery platform. It scrapes, indexes, and surfaces accepted papers from 15+ top-tier AI, Machine Learning, Computer Vision, and Security conferences spanning 2022 to 2026.

The platform provides semantic search powered by pgvector embeddings, interactive topic modeling and trend analysis via BERTopic, and a built-in AI Copilot for paper summarization, Q&A, and BibTeX generation — all driven by the user's own API key through NVIDIA NIM or Microsoft AI Foundry.

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Features

• 15+ Conference Scrapers — CVPR, NeurIPS, ICLR, ICML, ICCV, ECCV, ACM CCS, ACM CHI, USENIX Security, IEEE S&P, IEEE VIS, NDSS, SIGGRAPH, and more.
• 54,000+ Papers — Pre-built database dump available for instant setup.
• Semantic Search — Find papers by meaning using BAAI/bge-base-en-v1.5 embeddings in pgvector.
• BERTopic Trend Analysis — 150 hierarchical research topics with interactive visualizations.
• AI Copilot — Paper summarization, Q&A, and BibTeX generation (bring your own key).
• Free API Keys — Get free LLM API keys from build.nvidia.com (NVIDIA NIM) and Azure AI Foundry (Microsoft).
• Bookmarks & Recommendations — Browser-cached bookmarks with personalized suggestions via cosine similarity.

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Tech Stack

Layer	Technology
Frontend	Next.js 16, React 19, TypeScript
Backend	Python, FastAPI, Uvicorn
Database	PostgreSQL with pgvector extension
AI Routing	LiteLLM (multi-provider LLM gateway)
Embeddings	BAAI/bge-base-en-v1.5 via sentence-transformers
Topic Model	BERTopic
Deployment	Docker Compose, Oracle Cloud

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Quick Start

git clone https://github.com/RunWang123/cosmospaper.git
cd cosmospaper
cp .env.example .env        # configure DATABASE_URL
pip install -r requirements.txt
python -m uvicorn main:app --port 8000

cd frontend
npm install && npm run dev

• Frontend: http://localhost:3000
• Backend API: http://localhost:8000

For detailed setup instructions, see the docs in each folder below.

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Project Structure

Folder	Description	Docs
database/	SQLAlchemy models, pgvector setup, DB dump	database/README.md
scrapers/	Conference-specific scraping modules	scrapers/README.md
scripts/	BERTopic pipeline, arXiv backfill	scripts/README.md
frontend/	Next.js frontend application	frontend/README.md
main.py	FastAPI backend — API endpoints	See API docs below

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API Endpoints

Method	Endpoint	Description
GET	/api/papers	List papers with filtering
GET	/api/papers/search	Semantic search using embeddings
GET	/api/papers/{id}	Get paper by ID
POST	/api/copilot/chat	AI Copilot chat endpoint
POST	/api/copilot/summarize-pdf	Summarize a paper via AI
POST	/api/copilot/generate-bibtex	Generate BibTeX citations
GET	/api/trends/topics	Get BERTopic topic list
GET	/api/trends/topic-trends	Get topic trends over time
GET	/api/recommendations	Get paper recommendations

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Docker Deployment

docker-compose build
docker-compose up -d

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Contributing

1. Fork the repository
2. Create a feature branch (git checkout -b feature/your-feature)
3. Commit your changes (git commit -m 'Add your feature')
4. Push to the branch (git push origin feature/your-feature)
5. Open a Pull Request

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License

This project is licensed under the MIT License. See the LICENSE file for details.