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

# Together Embedder

> Generate 1024-dimensional embeddings with Together's current multilingual E5 model through its OpenAI-compatible API.

Pass a current Together model and its matching dimensions explicitly. `TogetherEmbedder` reads `TOGETHER_API_KEY` and calls Together through the OpenAI SDK.

<Warning>
  The Agno v2.7.2 default, `togethercomputer/m2-bert-80M-32k-retrieval`, was removed on February 6, 2026. Together's current serverless catalog lists `intfloat/multilingual-e5-large-instruct` with 1024 dimensions. See [Together deprecations](https://docs.together.ai/docs/deprecations) and [serverless models](https://docs.together.ai/docs/serverless/models).
</Warning>

```python together_embedder.py theme={null}
from agno.knowledge.embedder.together import TogetherEmbedder

embedder = TogetherEmbedder(
    id="intfloat/multilingual-e5-large-instruct",
    dimensions=1024,
)
embedding = embedder.get_embedding("The quick brown fox jumps over the lazy dog.")

print(embedding[:5])
print(len(embedding))
```

## Run the Example

<Steps>
  <Snippet file="create-venv-step.mdx" />

  <Step title="Export the API key">
    ```bash theme={null}
    export TOGETHER_API_KEY=your_together_api_key_here
    ```
  </Step>

  <Step title="Install dependencies">
    ```bash theme={null}
    uv pip install -U agno openai
    ```
  </Step>

  <Step title="Run the example">
    ```bash theme={null}
    python together_embedder.py
    ```
  </Step>
</Steps>

## Developer Resources

* [TogetherEmbedder reference](/reference/knowledge/embedder/together)
* [Together embeddings](https://docs.together.ai/docs/embeddings-overview)
* [Embedders overview](/knowledge/concepts/embedder/overview)