Optimize RAG in production environments using Amazon SageMaker JumpStart and Amazon OpenSearch Service
In this post, we show how to use Amazon OpenSearch Service as a vector store to build an efficient RAG application.
Amazon SageMaker Lakehouse
Governing the ML lifecycle at scale, Part 4: Scaling MLOps with security and governance controls
This post provides detailed steps for setting up the key components of a multi-account ML platform. This includes configuring the ML Shared Services Account, which manages the central templates, model…