Future-House/paper-qa

• highreadme#1

  Reposition the README's opening statement to emphasize its unique value and category

  原因：

  当前

  # PaperQA2
  
  PaperQA2 is a package for doing high-accuracy retrieval augmented generation (RAG) on PDFs, text files, Microsoft Office documents, and source code files, with a focus on the scientific literature.

  复制粘贴的修复

  复制

  # PaperQA2: A High-Accuracy RAG System for Scientific Documents with Verifiable Citations
  
  PaperQA2 is a specialized RAG framework designed for high-accuracy retrieval augmented generation (RAG) across scientific literature, PDFs, text files, Microsoft Office documents, and source code. It delivers superhuman performance in tasks like question answering, summarization, and contradiction detection, providing verifiable citations for every answer.

  待办完成忽略
• mediumtopics#2

  Add more specific topics to improve categorization

  原因：

  当前

  ai, rag, science, search

  复制粘贴的修复

  复制

  ai, rag, science, search, document-ai, question-answering, llm-framework, citation-generation, scientific-literature

  待办完成忽略
• lowreadme#3

  Add a direct link to the '2024 paper' in the README's introduction

  原因：

  当前

  See our recent 2024 paper to see examples of PaperQA2's superhuman performance in scientific tasks like question answering, summarization, and contradiction detection.

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  See our recent 2024 paper [link to paper here] to see examples of PaperQA2's superhuman performance in scientific tasks like question answering, summarization, and contradiction detection.

  待办完成忽略

本次扫描解析到的品类 GEO 通道：google/gemini-2.5-flash, deepseek/deepseek-v4-flash

• 品类问题

  How to build a reliable RAG system for scientific papers with verifiable citations?

  你：未被推荐
  AI 推荐顺序：

  1. LlamaIndex
  2. OpenAI GPT-4
  3. ArXiv API
  4. PubMed API
  5. LangChain
  6. Cohere Rerank
  7. Google Scholar API
  8. Semantic Scholar API
  9. Haystack
  10. ElasticSearch
  11. Sci-Hub
  12. CORE API
  13. PyPDF2
  14. pdfminer.six
  15. FAISS
  16. Hugging Face Transformers
  17. SciBERT
  18. BioBERT
  19. Azure AI Search
  20. Azure Cognitive Search
  21. Azure OpenAI Service
  22. Weaviate
  23. Pinecone
  24. Google Cloud Vertex AI
  25. AWS Bedrock
  26. OpenSearch
  27. Apache Solr
  28. Llama 2

  AI 推荐了 28 个替代方案，却始终没点名 Future-House/paper-qa。这就是要补上的差距。

  查看 AI 完整回答
• 品类问题

  Tool for accurate question answering and summarization across diverse technical documents like PDFs?

  你：未被推荐
  AI 推荐顺序：

  1. OpenAI API
  2. Azure AI Search
  3. Amazon Kendra
  4. Haystack
  5. LlamaIndex
  6. Cohere

  AI 推荐了 6 个替代方案，却始终没点名 Future-House/paper-qa。这就是要补上的差距。

  查看 AI 完整回答

• Metadata completeness

  pass

• README presence

  pass

• Compared to common alternatives in this category, what is the core differentiator of Future-House/paper-qa?

  pass
  ✓AI 明确点名了 Future-House/paper-qa

  AI 的回答可能信誓旦旦却是错的。请按事实核对：技术栈、目标人群、差异化点是不是和你实际的对得上？

• If a team adopts Future-House/paper-qa in production, what risks or prerequisites should they evaluate first?

  pass
  ✓AI 明确点名了 Future-House/paper-qa

  AI 的回答可能信誓旦旦却是错的。请按事实核对：技术栈、目标人群、差异化点是不是和你实际的对得上？

• In one sentence, what problem does the repo Future-House/paper-qa solve, and who is the primary audience?

  pass
  ✓AI 明确点名了 Future-House/paper-qa

  AI 的回答可能信誓旦旦却是错的。请按事实核对：技术栈、目标人群、差异化点是不是和你实际的对得上？