Data as of Sep 26, 2026 · Based on 4,029,442 AI responses across 13,338 prompts · See how Parse measures this
PaperQA2 is an open-source package that enables high-accuracy retrieval-augmented generation (RAG) over documents such as PDFs, text files, Microsoft Office documents, and source code, with a focus on scientific literature. It combines full-text retrieval with large language models to perform tasks like question answering, summarization, and contradiction detection. The project provides installation guides, configuration options for embedding models and prompts, and tooling to index, cache, and query documents locally.
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Excerpts where FutureHouse appeared in the AI's answer
FutureHouse systems — Their research on multi-agent scientific discovery systems describes workflows that combine literature search, hypothesis generation, experimental planning, and data analysis, particularly in biology.
FutureHouse (Robin / PaperQA2) : FutureHouse is a non-profit research institute focused entirely on building AI systems for automated scientific discovery.
Excerpts where FutureHouse appeared in the AI's answer
FutureHouse — A non-profit research initiative building autonomous AI scientists to automate complex wet-lab and literature-grounded workflows.