Ollama - Mem0 — ContextQMD

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>