RAG Without Breaking the Bank: Bedrock with S3 Vector-Powered Knowledge Bases

Building RAG-powered agents doesn’t have to come with sky-high vector database costs. In this session, Darya Petrahska, AWS Community Builder and Senior Data Scientist at SLB, will share how to create an Amazon Bedrock Agent backed by Amazon S3 Vectors — a new low-cost vector storage option that cuts vector storage and query costs by up to 90%.
You’ll learn:

• How to set up a Bedrock Knowledge Base using S3 Vectors for semantic retrieval
• How to create a Bedrock Agent that can reason over large-scale knowledge bases
• How to design embeddings, chunking, and metadata filtering strategies for accurate results

Whether you're building internal copilots, customer support bots, or document search apps, this talk will show you how to do RAG at scale without the price tag of traditional vector databases.
📅 Date: Saturday, November 15th, 2025
🕥 Time: 10:30 AM – 11:30 AM EST
💻 Zoom Link: https://us02web.zoom.us/j/84414255495?pwd=jQGPyFHylfZdVfJOsEA3h5x4YkJfyW.1

👉 RSVP now to save your spot and get the Zoom link.
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