Show HN: NRC nuclear licensing RAG pipeline and regulatory embeddings dataset

Category: ai-ml

Tags: rag, regulatory-compliance, nuclear-energy, vector-search, llm-application

Score: 7.0/10 (Innovation: 7, Technical: 8, Documentation: 9, Utility: 4)

This is a production-grade AI system designed to automate the analysis of Nuclear Regulatory Commission (NRC) licensing applications, using RAG to identify regulatory gaps, assess document strength, and predict reviewer questions. It's interesting because it applies modern LLM and vector search techniques to a highly specialized, high-stakes domain with a pre-built dataset of over 37,000 embedded regulatory chunks.

Target audience: data engineers, regulatory compliance specialists, nuclear industry professionals

Repository: https://huggingface.co/datasets/davenporten/nrc-regulatory-embeddings · Go

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