Zhi-Chao-PAN/structure-aware-rag-empirical

An empirical study improving Financial RAG accuracy by 37.5% (50.0% → 68.8%) using Structure-Aware Parsing. Benchmarking LlamaParse vs. PyPDF on complex cross-row tabular reasoning tasks.

22
/ 100
Experimental
No Package No Dependents
Maintenance 13 / 25
Adoption 0 / 25
Maturity 9 / 25
Community 0 / 25

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Language

Python

License

MIT

Last pushed

Mar 17, 2026

Commits (30d)

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