Multi-tenant RAG with Amazon Bedrock Knowledge Bases

This article discusses multi-tenant Retrieval Augmented Generation (RAG) architectures using Amazon Bedrock Knowledge Bases, focusing on three key implementation patterns for data isolation and management:

• Silo Pattern: Highest isolation with separate infrastructure for each tenant, but most expensive
• Pool Pattern: Shared infrastructure with lowest cost, suitable for many small tenants
• Bridge Pattern: Balanced approach with moderate isolation and cost

Key considerations for multi-tenant RAG systems include:

• Tenant data isolation
• Variability of tenant features
• Simplified tenant management
• Cost-efficiency

The article provides detailed technical guidance on implementing each pattern using Amazon S3, OpenSearch Service, and Amazon Bedrock Knowledge Bases, helping organizations choose the most appropriate approach for their specific requirements.