Retrieval Augmented Generation with AWS Bedrock

In this video you will how to query an AWS Bedrock knowledge base using Python to build Retrieval Augmented Generation (RAG) applications with your own private data. We use Bedrock Runtime API (retrieve and retrieve_and_generate) to retrieve relevant documents from the Knowledge Base and generate accurate, grounded responses using foundation models like Amazon Titan. 📌 What you will learn in this tutorial: * What an AWS Bedrock Knowledge Base is * How RAG works in AWS Bedrock * Understanding retrieve and retrieve_and_generate parameters * How Bedrock retrieves documents and generates responses Github code: https://github.com/Pytechie-dev/bedrock_generative_ai/blob/399a969043c59c3da2a4ece89c4a128ed0002a0c/RAG.ipynb This tutorial is ideal for AWS developers, cloud engineers, Generative AI learners and Agentic AI practitioners who want to build secure, scalable AI applications on AWS. #awsbedrock #knowledgebase #rag #generativeai #python #agenticai