Webinar: AWS-native multi-tenant RAG

Join us for a webinar, AWS-native multi-tenant RAG, hosted by our AI Engineer — Paweł Grabiński.

In this webinar, you will learn how to design RAG systems on AWS and select the right vector store that meets your multitenancy requirements, performance needs, and budget.

Agenda

• Introduction to RAG - what Retrieval-Augmented Generation is and why it matters
• The AWS stack for RAG - overview of AWS services (Amazon Bedrock, Amazon Knowledge Bases, AWS Lambda, etc.)
• Vector stores on AWS - comparison of available options and their benefits
• Multi-tenant patterns - overview of Pool, Bridge, Silo patterns for RAG systems
• Pattern-Vector store matching - best practices
• Conclusions and Q&A

Key topics:

• how what RAG is and how it defines the way we design AI applications;
• AWS services for building RAG solutions, including Amazon Bedrock, Amazon Knowledge Bases, and serverless compute;
• how Amazon OpenSearch Serverless, Amazon Aurora, and Amazon S3 Vectors compare as vector stores options;
• multitenancy patterns for RAG systems: Pool, Bridge, and Silo approaches and their trade-offs;
• how to match the right vector store with your multitenancy requirements, performance, and cost goals.

When? ️🕒 19.03.2026 (Thursday) | 11:00 - 11:50

Let's talk ▶️ hello@chaosgears.com 🌐 chaosgears.com

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