Retrieval corpus + vector database for the model
kcherry497/dyno-blast-4b.
Grounded RAG over Dyno Nobel's public technical literature — 682 documents →
3,819 page-aware, citation-ready chunks → embedded with intfloat/e5-base-v2
(768-d, cosine) → Qdrant collection dyno_nobel_resources.
Sources: dynonobel.com.au + dynonobel.com product hubs (126 products: tech
data sheets + Safety Data Sheets, incl. Industrial Chemicals — nitric acid,
ammonia, mixed acid, urea…)… See the full description on the dataset page:
https://huggingface.co/datasets/kcherry497/dyno-blast-4b-rag.
