| --- |
| language: en |
| license: apache-2.0 |
| tags: |
| - sentence-transformers |
| - feature-extraction |
| - embeddings |
| - semantic-search |
| - contrastive-learning |
| library_name: sentence-transformers |
| pipeline_tag: feature-extraction |
| --- |
| |
| # 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 |
|
|
| ```python |
| 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) # tensor([[0.72]]) |
| ``` |
|
|
| ## 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 | |
|
|
