> ## Documentation Index
> Fetch the complete documentation index at: https://docs.praison.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# OVHcloud Embeddings

> Generate embeddings using OVHcloud AI Endpoints

## Overview

OVHcloud provides AI Endpoints for embedding models with European data residency.

## Quick Start

```python theme={"theme":{"light":"vitesse-light","dark":"vitesse-dark"}}
from praisonaiagents import embedding

result = embedding(
    input="Hello world",
    model="ovhcloud/multilingual-e5-base"
)
print(f"Dimensions: {len(result.embeddings[0])}")
```

## CLI Usage

```bash theme={"theme":{"light":"vitesse-light","dark":"vitesse-dark"}}
praisonai embed "Hello world" --model ovhcloud/multilingual-e5-base
```

## Setup

```bash theme={"theme":{"light":"vitesse-light","dark":"vitesse-dark"}}
export OVH_AI_ENDPOINTS_ACCESS_TOKEN="your-ovhcloud-token"
```

## Related

* [Embedding Providers Overview](/docs/embeddings/index)