Milvus Model
Python reranker adapter that sends candidate documents as Jev Noul questions in one request, then sorts the returned scores and preserves original document indices.
A library integrating embedding and reranker models from OpenAI, SentenceTransformers etc for semantic search in vector database.
How it uses Jev
milvus-model supports embedding and reranker models from service providers like OpenAI, Voyage AI, Cohere, Jina AI, and TypeSafe (Jev), and open-source models through SentenceTransformers or Hugging Face Text Embeddings Inference (TEI) .
Getting started
If you use pymilvus , you can install milvus-model through its alias pymilvus[model] : bash pip install pymilvus[model]
- Language
- Python 100%
- License
- Apache-2.0
- Latest release
- v0.3.4
- Last activity
- Sep 2026
- Added
- 2026-09-24
- Stars at snapshot
- 0
- Status
- Community listing
Source: community catalog. Details and metrics reflect the published community snapshot and are not a performance endorsement. Documentation details extracted from GitHub · the README · the project website.
