---
title: "Ollama"
description: "Configure Ollama as an embedding provider in Mem0 to generate embeddings locally using open-source models."
---
You can use embedding models from Ollama to run Mem0 locally.

### Usage

<CodeGroup>
```python Python
import os
from mem0 import Memory

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

config = {
    "embedder": {
        "provider": "ollama",
        "config": {
            "model": "mxbai-embed-large"
        }
    }
}

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
import { Memory } from 'mem0ai/oss';

const config = {
  embedder: {
    provider: 'ollama',
    config: {
      model: 'nomic-embed-text:latest', // or any other Ollama embedding model
      url: 'http://localhost:11434', // Ollama server URL
    },
  },
};

const memory = new Memory(config);
const 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."}
]
await memory.add(messages, { userId: "john" });
```
</CodeGroup>

### Config

Here are the parameters available for configuring Ollama embedder:

<Tabs>
<Tab title="Python">
| Parameter | Description | Default Value |
| --- | --- | --- |
| `model` | The name of the Ollama model to use | `nomic-embed-text` |
| `embedding_dims` | Dimensions of the embedding model | `512` |
| `ollama_base_url` | Base URL for ollama connection | `None` |
</Tab>
<Tab title="TypeScript">
| Parameter | Description | Default Value |
| --- | --- | --- |
| `model` | The name of the Ollama model to use | `nomic-embed-text:latest` |
| `url` | Base URL for Ollama server | `http://localhost:11434` |
| `embeddingDims` | Dimensions of the embedding model | 768
</Tab>
</Tabs>