> ## 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.

# Together AI Embeddings

> Generate embeddings using Together AI's hosted models

## Overview

Together AI provides access to various open-source embedding models through their inference API.

## Quick Start

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

result = embedding(
    input="Hello world",
    model="together_ai/togethercomputer/m2-bert-80M-8k-retrieval"
)
print(f"Dimensions: {len(result.embeddings[0])}")
```

## CLI Usage

```bash theme={"theme":{"light":"vitesse-light","dark":"vitesse-dark"}}
praisonai embed "Hello world" --model together_ai/togethercomputer/m2-bert-80M-8k-retrieval
```

## Setup

```bash theme={"theme":{"light":"vitesse-light","dark":"vitesse-dark"}}
export TOGETHER_API_KEY="your-together-api-key"
```

## Available Models

| Model                                                   | Dimensions |
| ------------------------------------------------------- | ---------- |
| `together_ai/togethercomputer/m2-bert-80M-8k-retrieval` | 768        |
| `together_ai/BAAI/bge-large-en-v1.5`                    | 1024       |
| `together_ai/BAAI/bge-base-en-v1.5`                     | 768        |

## Related

* [Embedding Providers Overview](/docs/embeddings/index)
* [Fireworks AI Embeddings](/docs/embeddings/providers/fireworks-ai)