Refactoring from gemini to google ai (#3244)

This commit is contained in:
Parshva Daftari
2025-08-01 11:56:42 -07:00
committed by GitHub
parent fbe8a2e90f
commit 89b67e0834
8 changed files with 52 additions and 95 deletions
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---
title: Google AI
---
To use Google AI 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 Google API key | `None` |