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#1	---
#2	title: AWS Bedrock
#3	---
#4
#5	To use AWS Bedrock embedding models, you need to have the appropriate AWS credentials and permissions. The embeddings implementation relies on the `boto3` library.
#6
#7	### Setup
#8	- Ensure you have model access from the [AWS Bedrock Console](https://us-east-1.console.aws.amazon.com/bedrock/home?region=us-east-1#/modelaccess)
#9	- Authenticate the boto3 client using a method described in the [AWS documentation](https://boto3.amazonaws.com/v1/documentation/api/latest/guide/credentials.html)
#10	- Set up environment variables for authentication:
#11	```bash
#12	export AWS_REGION=us-east-1
#13	export AWS_ACCESS_KEY_ID=your-access-key
#14	export AWS_SECRET_ACCESS_KEY=your-secret-key
#15	```
#16
#17	### Usage
#18
#19	<CodeGroup>
#20	```python Python
#21	import os
#22	from mem0 import Memory
#23
#24	# For LLM if needed
#25	os.environ["OPENAI_API_KEY"] = "your-openai-api-key"
#26
#27	# AWS credentials
#28	os.environ["AWS_REGION"] = "us-west-2"
#29	os.environ["AWS_ACCESS_KEY_ID"] = "your-access-key"
#30	os.environ["AWS_SECRET_ACCESS_KEY"] = "your-secret-key"
#31
#32	config = {
#33	"embedder": {
#34	"provider": "aws_bedrock",
#35	"config": {
#36	"model": "amazon.titan-embed-text-v2:0"
#37	}
#38	}
#39	}
#40
#41	m = Memory.from_config(config)
#42	messages = [
#43	{"role": "user", "content": "I'm planning to watch a movie tonight. Any recommendations?"},
#44	{"role": "assistant", "content": "How about thriller movies? They can be quite engaging."},
#45	{"role": "user", "content": "I'm not a big fan of thriller movies but I love sci-fi movies."},
#46	{"role": "assistant", "content": "Got it! I'll avoid thriller recommendations and suggest sci-fi movies in the future."}
#47	]
#48	m.add(messages, user_id="alice")
#49	```
#50	</CodeGroup>
#51
#52	### Config
#53
#54	Here are the parameters available for configuring AWS Bedrock embedder:
#55
#56	<Tabs>
#57	<Tab title="Python">
#58	\| Parameter \| Description \| Default Value \|
#59	\| --- \| --- \| --- \|
#60	\| `model` \| The name of the embedding model to use \| `amazon.titan-embed-text-v1` \|
#61	</Tab>
#62	</Tabs>
#63

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