jeremiahbohr/literature-mapper
Transform academic PDFs into a Knowledge Graph with typed claims, temporal analysis, bibliometric tools, and grounded LLM synthesis that cites only your corpus.
For academic researchers, this tool transforms a collection of 10-500 research papers (PDFs) into an interactive knowledge graph. It extracts key findings, methods, and limitations, enriching them with citation data and temporal trends. The output is a structured database of your literature, visualizations, and AI-generated syntheses that strictly cite only the papers you provided.
Available on PyPI.
Use this if you need to systematically analyze a curated set of academic papers, understand connections between them, identify gaps, and get reliable answers grounded in your specific research corpus.
Not ideal if you need to search the entire web for research, process individual papers, or if your primary need is general-purpose information retrieval outside of a defined academic corpus.
Stars
7
Forks
2
Language
Python
License
MIT
Category
Last pushed
Feb 15, 2026
Commits (30d)
0
Dependencies
8
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