---
title: Together AI Embeddings
 | Developer Documentation
---

This notebook shows how to use `Together AI` for embeddings. Together AI provides access to many state-of-the-art embedding models.

Visit <https://together.ai> and sign up to get an API key.

## Setup

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

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

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

```
# You can set the API key in the embeddings or env
# import os
# os.environ["TOEGETHER_API_KEY"] = "your-api-key"


from llama_index.embeddings.together import TogetherEmbedding


embed_model = TogetherEmbedding(
    model_name="togethercomputer/m2-bert-80M-8k-retrieval", api_key="..."
)
```

## Get Embeddings

```
embeddings = embed_model.get_text_embedding("hello world")
```

```
print(len(embeddings))
```

```
768
```

```
print(embeddings[:5])
```

```
[-0.11657876, -0.012690996, 0.24342081, 0.32781482, 0.022501636]
```