How To Connect n8n to Pinecone - Build a RAG AI Knowledge Base (Step-by-Step Tutorial)

Description

📂 Download both JSON templates here: 🔗 https://kristorrington.com ⚡ Connect n8n to Pinecone — Build Your Own RAG AI Knowledge Base! In this tutorial, I’ll show you how to connect n8n, OpenAI, and Pinecone to build a real Retrieval-Augmented Generation (RAG) pipeline — where your AI can finally search your company’s data, policies, and FAQs before it answers. 🧩 Here’s what you’ll build step-by-step: ✅ Connect Google Drive as your document source ✅ Chunk and embed your files with OpenAI’s text-embedding-3-small model ✅ Store vectors inside Pinecone (namespace: KnowledgeBase) ✅ Add an AI Agent in n8n that can query and reply using your data ✅ Test it live with a question like “What’s our shipping policy?” 💥 By the end: you’ll have a production-ready RAG pipeline — no code, no APIs, just n8n nodes and smart automation. 00:00 Intro: Connect n8n → Pinecone (goal & outcome) 00:43 Why RAG: Vector DBs for business context 01:17 Live demo: Upload → Embed → Upsert → Query 02:24 Create Pinecone index (text-embedding-3-small, 1,536 dims) 03:04 Build in n8n: Drive → Download → Loop → Loader → Embeddings → Upsert 08:00 Build 2nd Workflow: Chat Trigger + AI Agent + Pinecone Search 10:57 Live Q&A: “What’s our shipping policy?”