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| Property | Value |
|---|---|
| Base model | sentence-transformers/all-MiniLM-L6-v2 |
| Output dimension | 384 |
| Pooling | mean |
| Normalization | L2 |
| Max sequence length | 256 |
/v1/search/docs)1from sentence_transformers import SentenceTransformer
2
3model = SentenceTransformer("matt-ts/org-shared-embeddings")
4query = "How do I rotate API keys for the staging environment?"
5doc = "Staging key rotation: open IAM console, select service account..."
6similarity = model.similarity(query, doc)
7print(similarity) # tensor([[0.72]])| Endpoint | Region | Instance |
|---|---|---|
embeddings-prod-us | us-east-1 | gpu-l4-small |
embeddings-prod-eu | eu-west-1 | gpu-l4-small |
| Version | Date | Notes |
|---|---|---|
| v1.2.0 | 2026-01-08 | Added runbook corpus (+12k docs) |
| v1.1.0 | 2025-09-22 | Ticket summary fine-tune |
| v1.0.0 | 2025-06-01 | Initial MiniLM baseline |