Paper Pilot is an AI-powered research assistant that helps you analyze academic papers and conduct literature reviews. Whether you have specific PDFs to analyze or want to explore the latest research on a topic, Paper Pilot makes academic research more accessible and efficient.
- PDF Analysis: Upload your research papers and get intelligent summaries, key findings, and insights
- ArXiv Discovery: Enter keywords or research questions to automatically find and analyze recent papers from ArXiv
- Conversational Interface: Ask follow-up questions and dive deeper into specific aspects of the research
- Smart Query Processing: Transforms your research questions into effective academic search terms
- Automated Paper Retrieval: Fetches the most recent and relevant papers from ArXiv based on your interests
- Memory-Enabled Conversations: Remembers context from previous questions for more natural interactions
- Domain Agnostic: Works across all academic fields - from computer science to biology to social sciences
Paper Pilot operates in two modes:
Upload your research papers and Paper Pilot will:
- Extract and analyze the content
- Identify key findings and methodologies
- Answer specific questions about the papers
Provide keywords or research questions and Paper Pilot will:
- Generate relevant academic search terms
- Fetch recent papers from ArXiv
- Highlight emerging trends and breakthrough research
- Python 3.8+
- Cohere API key (get one at cohere.ai)
- Clone the repository:
git clone https://github.com/hemhemoh/paper_pilot
cd paper_pilot- Install required packages:
pip install -r requirements.txt- Set up your Cohere API key:
export COHERE_API_KEY="your-api-key-here"The system processes research papers and provides intelligent analysis through a conversational interface. You can either upload PDF files for analysis or use keywords to discover and analyze recent ArXiv publications.
- Literature Review: "What are the latest developments in transformer architectures?"
- Paper Summary: Upload a complex research paper and ask "What are the main contributions of this work?"
- Comparative Analysis: "How do the methodologies in these papers compare?"
- langchain: Core framework for building the RAG pipeline
- langchain_cohere: Cohere integration for embeddings and chat
- langchain_docling: PDF processing and document loading
- feedparser: ArXiv API integration
- faiss-cpu: Vector similarity search
- qdrant-client: Alternative vector database
Paper Pilot transforms the way you interact with academic literature, making research more efficient and insights more accessible.