---
title: Engineering Knowledge Assistant — RAG
emoji: 🚂
colorFrom: blue
colorTo: green
sdk: docker
app_port: 7860
pinned: true
license: mit
short_description: RAG demo over railroad AI & engineering research
---

# Engineering Knowledge Assistant

RAG pipeline over 10 peer-reviewed publications in railroad condition monitoring,
DAS, AI/ML-driven operation optimization, and decision support system.

Ask questions like:
- How does the CNN-LSTM sliding window correct misclassifications?
- What features are extracted from DAS signals?
- How does HMM-RL optimize WAAM manufacturing?

**Author:** Md Arifur Rahman — PIN Fellow, Georgia Tech | 245+ citations
**GitHub:** [arifme071/engineering-knowledge-rag](https://github.com/arifme071/engineering-knowledge-rag)