---
title: MistralAI Embeddings
 | Developer Documentation
---

If you’re opening this Notebook on colab, you will probably need to install LlamaIndex 🦙.

```
%pip install llama-index-embeddings-mistralai
```

```
!pip install llama-index
```

```
# imports
from llama_index.embeddings.mistralai import MistralAIEmbedding
```

```
# get API key and create embeddings
api_key = "YOUR API KEY"
model_name = "mistral-embed"
embed_model = MistralAIEmbedding(model_name=model_name, api_key=api_key)


embeddings = embed_model.get_text_embedding("La Plateforme - The Platform")
```

```
print(f"Dimension of embeddings: {len(embeddings)}")
```

```
Dimension of embeddings: 1024
```

```
embeddings[:5]
```

```
[-0.0299224853515625,
 -0.0028362274169921875,
 0.0282745361328125,
 -0.034759521484375,
 -0.0017366409301757812]
```