
    AWS demonstrates how to implement Retrieval Augmented Generation (RAG) using hybrid and edge services like AWS Outposts and Local Zones to meet data residency requirements while maintaining generative AI capabilities.


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This article discusses implementing Retrieval Augmented Generation (RAG) while meeting data residency requirements using AWS hybrid and edge services like AWS Outposts and Local Zones.
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<li>Two primary architectural patterns are presented: Fully Local RAG and Hybrid RAG</li>
<li>Fully Local RAG enables complete on-premises deployment of language models and knowledge bases</li>
<li>Hybrid RAG allows organizations to keep sensitive data local while using cloud-based orchestration</li>
<li>Key motivations include reducing latency and enhancing data privacy and security</li>
<li>Amazon Bedrock Agents can help orchestrate interactions between foundation models and data sources across different environments</li>
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The solution enables organizations in regulated industries to leverage generative AI while maintaining strict data residency and privacy requirements by using AWS hybrid and edge infrastructure.
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