A full-stack, serverless Retrieval-Augmented Generation (RAG) application built end-to-end on AWS. Users upload PDFs, which are automatically chunked and embedded, then ask natural-language questions and receive AI-generated answers with citations back to the source documents.

Roadmap: multi-document collections, hybrid search, answer-quality evals.