Implement RAG while meeting data residency requirements using AWS hybrid and edge services

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.

• Two primary architectural patterns are presented: Fully Local RAG and Hybrid RAG
• Fully Local RAG enables complete on-premises deployment of language models and knowledge bases
• Hybrid RAG allows organizations to keep sensitive data local while using cloud-based orchestration
• Key motivations include reducing latency and enhancing data privacy and security
• Amazon Bedrock Agents can help orchestrate interactions between foundation models and data sources across different environments

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.