OpenAI - Mem0 — ContextQMD

To use OpenAI embedding models, set the OPENAI_API_KEY environment variable. You can obtain the OpenAI API key from the OpenAI Platform.

Usage

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

os.environ["OPENAI_API_KEY"] = "your_api_key"

config = { "embedder": { "provider": "openai", "config": { "model": "text-embedding-3-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: 'openai',
    config: {
      apiKey: 'your-openai-api-key',
      model: 'text-embedding-3-large',
    },
  },
};

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

</CodeGroup>

Config

Here are the parameters available for configuring OpenAI embedder:

<Tabs> <Tab title="Python"> | Parameter | Description | Default Value | | --- | --- | --- | | `model` | The name of the embedding model to use | `text-embedding-3-small` | | `embedding_dims` | Dimensions of the embedding model | `1536` | | `api_key` | The OpenAI API key | `None` | </Tab> <Tab title="TypeScript"> | Parameter | Description | Default Value | | --- | --- | --- | | `model` | The name of the embedding model to use | `text-embedding-3-small` | | `embeddingDims` | Dimensions of the embedding model | `1536` | | `apiKey` | The OpenAI API key | `None` | </Tab> </Tabs>