RAG Without Breaking the Bank
Автор: AWSLondonON Meetup
Загружено: 2025-11-17
Просмотров: 33
In this session, Darya Petrashka, AWS Community Builder and Senior Data Scientist at SLB, shares practical insights on how to build affordable, production-ready RAG (Retrieval-Augmented Generation) systems using Amazon Bedrock Agents and S3 Vector-Powered Knowledge Bases, without the high cost of traditional vector databases.
What you’ll learn
How to set up a Bedrock Knowledge Base using Amazon S3 Vectors
How to create a Bedrock Agent that can reason over large-scale knowledge bases
How to design embeddings, chunking, and metadata filtering for accurate, cost-efficient retrieval
How to build scalable GenAI applications — from internal copilots to document Q&A systems — without breaking the bank
🎙️ About the Speaker:
Darya Petrashka
AWS Community Builder
Senior Data Scientist at SLB
Specializes in NLP, Generative AI, and AWS services
Passionate about data-driven problem solving and educating the next generation of builders
Active participant in workshops, online schools, and global tech communities
#CloudComputing #RAG #AmazonBedrock #AWSCommunity #MachineLearning
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