AIBasedResearchWorkspace

What is the main use case for PapersFlow?

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PapersFlow helps knowledge workers go from a research question to a finished document in one place. You search millions of academic papers, read and annotate them, run systematic reviews, analyze citation networks, and write polished documents with proper references. Instead of juggling five different tools for search, reading, notes, citations, and writing, everything happens inside one AI-powered workspace. The chat interface lets you ask natural questions and the system figures out which agents to use behind the scenes.  

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Who is the target audience of papersflow.ai?

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Anyone whose work involves reading, analyzing, or writing from research. That includes PhD students and academics doing literature reviews, R&D engineers surveying technical fields, finance analysts compiling research reports, consultants building evidence-based deliverables, and historians tracing primary sources. If your job involves turning large amounts of information into structured output, PapersFlow was built for you.

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What model of AI does PapersFlow use?

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PapersFlow uses a multi-agent architecture powered by OpenAI and Google Gemini models. Specialized sub-agents handle different tasks like research discovery, citation analysis, synthesis, and academic writing. The system picks the right model and agent for each step automatically. We also use custom retrieval pipelines with hybrid search and neural reranking to find the most relevant papers from databases like Semantic Scholar, OpenAlex, and your own Zotero library.