org-shared-embeddings
Shared embedding model for cross-team semantic search over documentation,
runbooks, and resolved ticket summaries.
Hosted under the organization namespace for centralized inference endpoint billing.
Model description
| Property |
Value |
| Base model |
sentence-transformers/all-MiniLM-L6-v2 |
| Output dimension |
384 |
| Pooling |
mean |
| Normalization |
L2 |
| Max sequence length |
256 |
Intended use
- Internal doc search (
/v1/search/docs)
- Duplicate ticket detection
- Clustering for QA review sampling
Usage
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("matt-ts/org-shared-embeddings")
query = "How do I rotate API keys for the staging environment?"
doc = "Staging key rotation: open IAM console, select service account..."
similarity = model.similarity(query, doc)
print(similarity)
Deployment
| Endpoint |
Region |
Instance |
embeddings-prod-us |
us-east-1 |
gpu-l4-small |
embeddings-prod-eu |
eu-west-1 |
gpu-l4-small |
Version history
| 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 |
