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supply-chain-embeddings
mathurvarun84/supply-chain-embeddings
supply-chain-embeddings is a feature extraction model from mathurvarun84. Use it when you need embeddings to search or compare text. It is set up for sentence-transformers. The card lists the license as apache-2.0.
Fine-tuned all-MiniLM-L6-v2 for supply-chain RAG retrieval (historical precedents, export controls, India sourcing, mitigation QA pairs).
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At a glance
- Task
- Feature Extraction
- Library
- sentence-transformers
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- Jun 29, 2026
- Updated
- Jun 29, 2026
- SHA
- 25dfbfe0
Model card
From the Hugging Face model README
Supply Chain RAG Embeddings
Fine-tuned all-MiniLM-L6-v2 for supply-chain RAG retrieval (historical precedents,
export controls, India sourcing, mitigation QA pairs).
Usage
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("mathurvarun84/supply-chain-embeddings")
q = model.encode("Red Sea shipping disruption semiconductor")
Local project
Set in .env:
EMBEDDING_MODEL_PATH=mathurvarun84/supply-chain-embeddings
Then rebuild ChromaDB:
python scripts/build_rag_collections.py --flush
- Task
- Feature Extraction
- Library
- sentence-transformers
- Type
- bert
- License
- apache-2.0
- Languages
- en
- Created
- Jun 29, 2026
- Updated
- Jun 29, 2026