> ## Documentation Index
> Fetch the complete documentation index at: https://docs.mem0.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Together

> Configure Together AI as an embedding provider in Mem0 with support for 1024-dimensional embedding models.

To use Together embedding models, set the `TOGETHER_API_KEY` environment variable. You can obtain the Together API key from the [Together Platform](https://api.together.ai/settings/projects/~current/api-keys).

### Usage

<Note> The `embedding_model_dims` parameter for `vector_store` should be set to `1024` for Together embedder. </Note>

<Warning>
  **Breaking default change.** The default Together embedding model is now `intfloat/multilingual-e5-large-instruct` (**1024-dim**), replacing the previous default `togethercomputer/m2-bert-80M-8k-retrieval` (**768-dim**). If you created a self-hosted vector store with the old default, its collection is 768-dim and will reject the new 1024-dim vectors **recreate/reindex the collection at 1024 dimensions** after upgrading. To defer the change, pin the previous values explicitly (`model="togethercomputer/m2-bert-80M-8k-retrieval"`, `embedding_dims=768`) note Together no longer lists this model among its recommended embeddings, so reindexing at 1024 is the durable path.
</Warning>

<CodeGroup>
  ```python Python theme={null}
  import os
  from mem0 import Memory

  os.environ["TOGETHER_API_KEY"] = "your_api_key"
  os.environ["OPENAI_API_KEY"] = "your_api_key" # For LLM

  config = {
      "embedder": {
          "provider": "together",
          "config": {
              "model": "intfloat/multilingual-e5-large-instruct"
          }
      }
  }

  m = Memory.from_config(config)
  messages = [
      {"role": "user", "content": "I'm planning to watch a movie tonight. Any recommendations?"},
      {"role": "assistant", "content": "How about thriller movies? They can be quite engaging."},
      {"role": "user", "content": "I'm not a big fan of thriller movies but I love sci-fi movies."},
      {"role": "assistant", "content": "Got it! I'll avoid thriller recommendations and suggest sci-fi movies in the future."}
  ]
  m.add(messages, user_id="john")
  ```

  ```typescript TypeScript theme={null}
  import { Memory } from 'mem0ai/oss';

  const config = {
    embedder: {
      provider: 'together',
      config: {
        apiKey: process.env.TOGETHER_API_KEY || '',
        model: 'intfloat/multilingual-e5-large-instruct',
        embeddingDims: 1024,
      },
    },
  };

  const memory = new Memory(config);
  await memory.add("I'm visiting Paris", { userId: "john" });
  ```
</CodeGroup>

### Config

Here are the parameters available for configuring Together embedder:

<Tabs>
  <Tab title="Python">
    | Parameter        | Description                            | Default Value                             |
    | ---------------- | -------------------------------------- | ----------------------------------------- |
    | `model`          | The name of the embedding model to use | `intfloat/multilingual-e5-large-instruct` |
    | `embedding_dims` | Dimensions of the embedding model      | `1024`                                    |
    | `api_key`        | The Together API key                   | `None`                                    |
  </Tab>

  <Tab title="TypeScript">
    | Parameter       | Description                                                      | Default Value                             |
    | --------------- | ---------------------------------------------------------------- | ----------------------------------------- |
    | `model`         | The name of the embedding model to use                           | `intfloat/multilingual-e5-large-instruct` |
    | `embeddingDims` | Dimensions of the embedding model for vector store configuration | `1024`                                    |
    | `apiKey`        | The Together API key                                             | `TOGETHER_API_KEY`                        |
    | `baseURL`       | Base URL for an OpenAI-compatible Together endpoint              | `https://api.together.ai/v1`              |
  </Tab>
</Tabs>