Create a Retrieval‑Augmented Generation pipeline that answers questions from your private data without writing code
Before We Start: What You'll Walk Away With
By the end of this tutorial you’ll be able to point a chatbot at any collection of PDFs, Word docs, or wiki pages and get accurate answers in seconds.
First, you’ll grasp the three moving parts of a RAG system—the retriever, the generator, and the glue that stitches them together—just like understanding the driver, the map, and the GPS signal when you order a ride.
Next, you’ll spin up a fully functional pipeline using only free or freemium services, so there’s no need to hire a data‑science team or rent pricey GPU servers.
