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Paper RAG

Build or use a local paper RAG / paper knowledge base for PDF, arXiv, LaTeX source, MinerU Markdown, paper notes, and citation-grounded question answering. Use when the user asks for Paper RAG, local paper library search, paper QA, formula lookup, implementation checks against a paper, or multi-paper evidence retrieval.

jasperpwang 0adafad 1.2 KB Updated
AI & ML

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Paper RAG

Use this skill for retrieval-grounded paper work, not freeform literature synthesis.

Workflow:

  1. Identify the source corpus: PDFs, arXiv IDs, MinerU Markdown, LaTeX source, Obsidian notes, Feishu pages, or Zotero entries.
  2. Prefer structured paper artifacts already in the vault: paper cards, deep-dive notes, English manuscript, Chinese translation, and assets.
  3. Extract metadata: title, authors, venue, year, PDF/arXiv, code/project links, sections, equations, figures, datasets, and metrics.
  4. Answer with source-grounded citations or local file references. Separate source says, inference, and citation needed.
  5. For implementation checks, quote or paraphrase the exact relevant method/equation/ablation first, then compare code/config.

Do not treat vector search output as a finished literature review. For survey structure, hand off to survey-builder or academic-research-skills.

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