This project aims at automating technical research synthesis for material science. Instead of manual parsing, it extracts essential technical entities from high-density PDFs using a dual-gate Auditor architecture to verify data and eliminate AI hallucinations
python ai information-extraction ieee vector-database llm research-automation agentic-rag technical-research material-engineering
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Updated
Apr 23, 2026 - Python