hummat/paperpipe
Extract equations and context from research papers for LLM coding assistants (arXiv, LaTeX, RAG)
When you're implementing a research paper, this tool helps you organize and quickly access the exact equations, LaTeX definitions, and coding-focused summaries. It takes research papers (from arXiv, Semantic Scholar, or local PDFs) and extracts key information, then lets you query or display it. This is designed for researchers, machine learning practitioners, or anyone who needs to translate complex academic papers into working code.
Available on PyPI.
Use this if you are actively implementing algorithms or models described in research papers and need to quickly cross-reference mathematical details, verify your code, or get precise definitions.
Not ideal if you primarily read papers for general understanding, literature reviews, or conceptual knowledge without the intent of implementing the technical details.
Stars
8
Forks
1
Language
Python
License
MIT
Category
Last pushed
Mar 11, 2026
Commits (30d)
0
Dependencies
4
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