Showing 2 open source projects for "summarization"

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    PaperQA2

    PaperQA2

    High accuracy RAG for answering questions from scientific documents

    PaperQA2 is a package for doing high-accuracy retrieval augmented generation (RAG) on PDFs or text files, with a focus on the scientific literature. See our recent 2024 paper to see examples of PaperQA2's superhuman performance in scientific tasks like question answering, summarization, and contradiction detection. In this example we take a folder of research paper PDFs, magically get their metadata - including citation counts and a retraction check, then parse and cache PDFs into a full-text search index, and finally answer the user question with an LLM agent.
    Downloads: 13 This Week
    Last Update:
    See Project
  • 2
    Graph-based Extraction and Summarization - a generic graph-based summarization framework. Basic functionality is provided - third-party modules can be plugged in.
    Downloads: 0 This Week
    Last Update:
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