Setting up RAG with Pinecone in 30 minutes

Retrieval-augmented generation (RAG) lets your LLM answer questions about your private data without fine-tuning. The pipeline: 1. Chunk your docs. 2. Embed each chunk. 3. Store vectors in Pinecone. 4. At query time: embed the question, retrieve top-k chunks, stuff into the prompt. This tutorial walks through each step in TypeScript with the Vercel AI SDK + Pinecone client.