RAG

Reading long articles often means scrolling and searching for specific details. I built a Website QA Assistant that lets users paste any article link (like a Medium post) and ask natural language questions about its content. The assistant extracts the text, embeds it, and answers questions using a retrieval-augmented generation (RAG) pipeline. Objective The goal …