Setting up RAG with Pinecone in 30 minutes
From scratch to a working retrieval-augmented generation pipeline.
5/5/2026 · Admin
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.
#rag#pinecone#tutorial
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