Build a RAG Pipeline on AWS Blocks for Document Q&A

This tutorial shows how to build a Retrieval-Augmented Generation (RAG) application using AWS Blocks, a framework that unifies infrastructure, backend, and frontend. It covers document upload, text extraction, chunking, embedding generation, and semantic retrieval via Bedrock. The result is a chatbot that answers questions using private documents with citations.