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#1	---
#2	title: Google AI
#3	---
#4
#5	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).
#6
#7	### Usage
#8
#9	<CodeGroup>
#10	```python Python
#11	import os
#12	from mem0 import Memory
#13
#14	os.environ["GOOGLE_API_KEY"] = "key"
#15	os.environ["OPENAI_API_KEY"] = "your_api_key" # For LLM
#16
#17	config = {
#18	"embedder": {
#19	"provider": "gemini",
#20	"config": {
#21	"model": "models/text-embedding-004",
#22	}
#23	}
#24	}
#25
#26	m = Memory.from_config(config)
#27	messages = [
#28	{"role": "user", "content": "I'm planning to watch a movie tonight. Any recommendations?"},
#29	{"role": "assistant", "content": "How about thriller movies? They can be quite engaging."},
#30	{"role": "user", "content": "I'm not a big fan of thriller movies but I love sci-fi movies."},
#31	{"role": "assistant", "content": "Got it! I'll avoid thriller recommendations and suggest sci-fi movies in the future."}
#32	]
#33	m.add(messages, user_id="john")
#34	```
#35
#36	```typescript TypeScript
#37	import { Memory } from 'mem0ai/oss';
#38
#39	const config = {
#40	embedder: {
#41	provider: "google",
#42	config: {
#43	apiKey: process.env["GOOGLE_API_KEY"],
#44	model: "gemini-embedding-001",
#45	embeddingDims: 1536,
#46	},
#47	},
#48	};
#49
#50	const memory = new Memory(config);
#51	const messages = [
#52	{"role": "user", "content": "I'm planning to watch a movie tonight. Any recommendations?"},
#53	{"role": "assistant", "content": "How about thriller movies? They can be quite engaging."},
#54	{"role": "user", "content": "I'm not a big fan of thriller movies but I love sci-fi movies."},
#55	{"role": "assistant", "content": "Got it! I'll avoid thriller recommendations and suggest sci-fi movies in the future."}
#56	]
#57	await memory.add(messages, { userId: "john" });
#58	```
#59	</CodeGroup>
#60
#61	### Config
#62
#63	Here are the parameters available for configuring Gemini embedder:
#64	<Tabs>
#65	<Tab title="Python">
#66	\| Parameter \| Description \| Default Value \|
#67	\| ---------------- \| ------------------------------------ \| ----------------------- \|
#68	\| `model` \| The name of the embedding model to use\| `models/text-embedding-004` \|
#69	\| `embedding_dims` \| Dimensions of the embedding model \| `1536` \|
#70	\| `api_key` \| The Google API key \| `None` \|
#71	</Tab>
#72	<Tab title="TypeScript">
#73	\| Parameter \| Description \| Default Value \|
#74	\| ----------------- \| --------------------------------------------- \| -------------------------- \|
#75	\| `model` \| The name of the embedding model to use \| `gemini-embedding-001` \|
#76	\| `embeddingDims` \| Dimensions of the embedding model \| `1536` \|
#77	\| `apiKey` \| Google API key \| `None` \|
#78	</Tab>
#79	</Tabs>
#80

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