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docs/cookbooks/integrations/aws-bedrock.mdx
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@@ -3,6 +3,9 @@ title: Bedrock with Persistent Memory
description: "Configure the mem0ai Python SDK with AWS Bedrock LLMs and OpenSearch Serverless to run a fully managed, persistent agent memory stack on AWS."
---
<Info icon="server">
**Works with:** Mem0 OSS (`Memory`)
</Info>
This example demonstrates how to configure and use the `mem0ai` SDK with **AWS Bedrock** and **OpenSearch Service (AOSS)** for persistent memory capabilities in Python.
@@ -35,8 +38,8 @@ print(os.environ['AWS_SECRET_ACCESS_KEY'])
## Configuration and Usage
This sets up Mem0 with:
- [AWS Bedrock for LLM](https://docs.mem0.ai/components/llms/models/aws_bedrock)
- [AWS Bedrock for embeddings](https://docs.mem0.ai/components/embedders/models/aws_bedrock#aws-bedrock)
- [AWS Bedrock for LLM](https://docs.mem0.ai/components/llms/models/aws-bedrock)
- [AWS Bedrock for embeddings](https://docs.mem0.ai/components/embedders/models/aws-bedrock#aws-bedrock)
- [OpenSearch as the vector store](https://docs.mem0.ai/components/vectordbs/dbs/opensearch)
```python