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.

Usage

The embedding_model_dims parameter for vector_store should be set to 1024 for Together embedder.

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.

Python

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")

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" });

Config

Here are the parameters available for configuring Together embedder:

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

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