44 lines
1.4 KiB
Plaintext
44 lines
1.4 KiB
Plaintext
---
|
||
title: Gemini
|
||
---
|
||
|
||
To use Gemini embedding models, set the `GOOGLE_API_KEY` environment variables. You can obtain the Gemini API key from [here](https://aistudio.google.com/app/apikey).
|
||
|
||
### Usage
|
||
|
||
```python
|
||
import os
|
||
from mem0 import Memory
|
||
|
||
os.environ["GOOGLE_API_KEY"] = "key"
|
||
os.environ["OPENAI_API_KEY"] = "your_api_key" # For LLM
|
||
|
||
config = {
|
||
"embedder": {
|
||
"provider": "gemini",
|
||
"config": {
|
||
"model": "models/text-embedding-004",
|
||
}
|
||
}
|
||
}
|
||
|
||
m = Memory.from_config(config)
|
||
messages = [
|
||
{"role": "user", "content": "I'm planning to watch a movie tonight. Any recommendations?"},
|
||
{"role": "assistant", "content": "How about a 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")
|
||
```
|
||
|
||
### Config
|
||
|
||
Here are the parameters available for configuring Gemini embedder:
|
||
|
||
| Parameter | Description | Default Value |
|
||
| --- | --- | --- |
|
||
| `model` | The name of the embedding model to use | `models/text-embedding-004` |
|
||
| `embedding_dims` | Dimensions of the embedding model (output_dimensionality will be considered as embedding_dims, so please set embedding_dims accordingly) | `768` |
|
||
| `api_key` | The Gemini API key | `None` |
|