From the course: AWS Certified Machine Learning Engineer - Associate (MLA-C02) Cert Prep

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Bedrock RAG serverless

Bedrock RAG serverless

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What if your client can have a chatbot that throws highly accurate responses based on your documents, without having a guilt of the monthly expenses, without even subscribing to any costly AI support subscriptions, only pay per inquiry requests to your model provider, and of course, only cost you cents? And it lessens when your client is already satisfied with the answer as it returns a a fully verified response based on the documents you have in your database. Consider this as well. It is cost-aware, making sure that it will notify you once it exceeds your budgets for you to decide the next step. That's the promise of a cost-aware Retrieval Augmented Generation, or RAG, on Amazon Web Services. In this hands-on lab, we'll build a beginner-friendly but production-minded RAG application using Amazon Bedrock, then monitor and control its cost and performance using Amazon CloudWatch for a cost-aware feature. This hands-on lab is written from a mindset of a software engineer and a…

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