Month: August 2025

Overview Retrieval-Augmented Generation (RAG) is quickly becoming a standard design pattern for grounding Large Language Models (LLMs) with external knowledge. Instead of relying solely on the training data of the model (which may be outdated or incomplete), RAG retrieves relevant facts from a knowledge base and passes them into the prompt. This ensures responses are…

Overview Incorporating Generative AI (GenAI) into your anomaly detection process can make workflows more adaptive, context-aware, and capable of reasoning. This project showcases how GenAI can be leveraged to create predictive maintenance workflows using Amazon Bedrock. Retrieval Augmented Generation (RAG) with knowledge bases With RAG (Retrieval-Augmented Generation), you can enhance foundation models using company-specific data…

Overview AWS offers 20+ AI services, one of them is Amazon Rekognition. I develop a data science template using Amazon Rekognition to demonstrate how an ML-Ops framework integrates with managed AI services. Packaged as a CloudFormation stack and deployed via AWS Service Catalog, it delivers a fully integrated, end-to-end CI/CD pipeline for image classification and…