Multi-tenant RAG implementation with Amazon Bedrock and Amazon OpenSearch Service for SaaS using JWT
Machine Learning Blog
This article discusses a multi-tenant Retrieval Augmented Generation (RAG) implementation using Amazon Bedrock and Amazon OpenSearch Service with JSON Web Token (JWT) for secure data isolation in SaaS environments.
- Enables personalized AI services by using tenant-specific data sources
- Uses JWT and Fine-Grained Access Control (FGAC) for secure multi-tenant data isolation
- Supports three data isolation patterns: domain-level, index-level, and document-level
- Integrates Amazon Cognito, AWS Lambda, DynamoDB, and Amazon Bedrock
- Allows dynamic tenant identification and routing through JWT attributes
The solution provides a flexible approach for SaaS providers to implement secure, scalable RAG systems with strict tenant data access controls and routing mechanisms.
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