Personal Shopper Chatbot for WooCommerce with RAG using Google Drive and openAI

This workflow combines OpenAI, Retrieval-Augmented Generation (RAG), and WooCommerce to create an intelligent personal shopping assistant. It handles two scenarios: Product Search: Extracts user intent (keywords, price ranges, SKUs) and fetches matching products from WooCommerce. General Inquiries: Answers store-related questions (e.g., opening hours, policies) using RAG and documents stored in Google Drive. How It Works 1. Chat Interaction & Intent Detection Chat Trigger: Starts when a user sends a message ("When chat message received"). Information Extractor: Uses OpenAI to analyze the message and determine if the user is searching for a product or asking a general question. Extracts: sear

Help me set up the n8n workflow "Personal Shopper Chatbot for WooCommerce with RAG using Google Drive and openAI" (https://n8n.io/workflows/2784). It uses: HTTP Request, Google Drive, AI Agent, Embeddings OpenAI, OpenAI Chat Model, Simple Memory, Token Splitter, Calculator, Default Data Loader, Qdrant Vector Store, Vector Store Question Answer Tool, Information Extractor. Import the template JSON into my n8n instance, list every credential I need to create, and walk me through testing it.