The original title is "Chat with Your Documents: Building a RAG Pipeline with AWS Blocks"

Short summary

A detailed tutorial on building a Retrieval-Augmented Generation (RAG) pipeline using AWS Blocks, covering document upload, text extraction, chunking, embeddings, semantic retrieval, and grounded LLM responses via Amazon Bedrock. The article walks through scaffolding a project with npx, installing the AWS Blocks skill for AI coding assistants, and structuring infrastructure, backend APIs, and frontend code as a unified vertical slice. It includes architecture diagrams and code snippets for a complete chat-with-documents application.

• •Build a full RAG pipeline with AWS Blocks: upload, extract, chunk, embed, retrieve, and ground LLM responses
• •Uses S3, Bedrock, vector storage, and background jobs in a single unified project structure
• •Includes CLI scaffolding, AI coding assistant skill integration, and architecture diagrams

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