Project Title
paper-qa — High Accuracy RAG for Scientific Document Question Answering with Citations
Overview
Paper-qa is a Python-based package designed for high-accuracy retrieval augmented generation (RAG) on PDFs or text files, with a particular focus on scientific literature. It stands out for its ability to answer questions from scientific documents with citations, offering superhuman performance in tasks like question answering, summarization, and contradiction detection.
Key Features
- High-accuracy RAG for scientific document analysis
- Supports PDF and text file processing
- Focus on scientific literature and citation-based answers
- Superhuman performance in scientific tasks
Use Cases
- Researchers and scientists looking to extract specific information from scientific papers
- Academics needing to verify or refute scientific claims with cited evidence
- Developers integrating scientific document analysis into larger AI systems
Advantages
- Tailored for scientific literature, enhancing the relevance of answers
- Incorporates citations to provide verifiable and credible responses
- High performance in complex scientific tasks
Limitations / Considerations
- May require significant computational resources for processing large volumes of scientific documents
- The effectiveness is highly dependent on the quality and relevance of the input documents
- The project's license is currently unknown, which may affect its use in commercial applications
Similar / Related Projects
- LlamaIndex: A similar project focused on knowledge management and retrieval, but without the specific focus on scientific literature.
- LangChain: A language model application framework that can be used for various tasks, including question answering, but not specialized for scientific documents.
Basic Information
- GitHub: https://github.com/Future-House/paper-qa
- Stars: 7,744
- License: Unknown
- Last Commit: 2025-10-09
📊 Project Information
- Project Name: paper-qa
- GitHub URL: https://github.com/Future-House/paper-qa
- Programming Language: Python
- ⭐ Stars: 7,744
- 🍴 Forks: 777
- 📅 Created: 2023-02-05
- 🔄 Last Updated: 2025-10-09
🏷️ Project Topics
Topics: [, ", a, i, ", ,, , ", r, a, g, ", ,, , ", s, c, i, e, n, c, e, ", ,, , ", s, e, a, r, c, h, ", ]
🔗 Related Resource Links
📚 Documentation
🌐 Related Websites
- [
- [
- [
- License
- PyPI Python Versions
This article is automatically generated by AI based on GitHub project information and README content analysis