> For the complete documentation index, see [llms.txt](https://docs.ionos.com/cloud/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.ionos.com/cloud/ai/ai-model-hub/models/embedding-models.md).

# Embedding Models

Embedding models convert text into dense vector representations, enabling semantic search, clustering, and similarity comparison. They are essential for building search engines, recommendation systems, and knowledge retrieval applications.

{% hint style="warning" %}
**Deprecated:** **Paraphrase Multilingual MPNet v2** will be removed from the AI Model Hub on **November 30, 2026**. Migrate to [<mark style="color:blue;">BGE M3</mark>](/cloud/ai/ai-model-hub/models/embedding-models/bge-m3.md), its designated successor. Its 768-dimensional embeddings are not interchangeable with the 1024-dimensional BGE M3 vectors. Before switching, you must re-embed your existing content with BGE M3 and update your vector index dimension.
{% endhint %}

* [<mark style="color:blue;">**BGE M3**</mark>](/cloud/ai/ai-model-hub/models/embedding-models/bge-m3.md): Handles long multilingual text and maps it to a 1024-dimensional vector space for cross-lingual search and analysis.
* [<mark style="color:blue;">**Paraphrase Multilingual MPNet v2**</mark>](/cloud/ai/ai-model-hub/models/embedding-models/paraphrase-multilingual-mpnet-v2.md): A sentence transformer model that maps text to a 768-dimensional vector space, enabling efficient paraphrase detection and semantic similarity tasks.
* [<mark style="color:blue;">**Qwen3 VL Embedding 8B**</mark>](/cloud/ai/ai-model-hub/models/embedding-models/qwen3-vl-embedding-8b.md): A multimodal embedding model that maps text and images to a 4096-dimensional vector space, enabling cross-modal semantic search and visual document retrieval across 30+ languages.


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