Business WhatsApp AI RAG Chatbot for Electronics Stores

Name: Business WhatsApp AI RAG Chatbot for Electronics Stores
Rating: 5 (6 reviews)
Author: Free N8N

Community Verified

Beginner

0 nodes connected

detail.loadingPreview

Free N8N Temples

186 views

0 downloads

AI & Machine LearningAIRAGautomationchatbotgoogle driveopenaiqdrantwhatsapp

Build an AI-powered chatbot for your electronics store on WhatsApp using Retrieval Augmented Generation (RAG). This workflow integrates with Google Drive for knowledge base, Qdrant for vector storage, and OpenAI for AI.

🚀Ready to Deploy This Workflow?

⚡Deploy on Zeabur 🎁Get $200 Credit on DigitalOcean

About This Workflow

Overview

This n8n workflow creates a sophisticated Business WhatsApp AI RAG (Retrieval Augmented Generation) chatbot, specifically designed for an electronics store. It leverages the power of AI to answer customer queries by retrieving relevant information from a knowledge base stored in Google Drive and processed by Qdrant vector store. The chatbot then uses OpenAI's language models to generate human-like responses, providing customers with detailed product information, troubleshooting tips, and general support.

The workflow automates the process of receiving WhatsApp messages via a webhook, fetching relevant documents, generating embeddings, storing them in a Qdrant vector database, querying the database for answers, and finally responding to the user via WhatsApp. This solution aims to enhance customer service, reduce response times, and provide consistent, accurate information 24/7.

Key Features

WhatsApp Integration: Seamlessly receives and responds to messages via the WhatsApp Business API.
AI-Powered Responses: Utilizes OpenAI's advanced language models for intelligent and context-aware answers.
Retrieval Augmented Generation (RAG): Enhances AI responses by retrieving information from a dedicated knowledge base.
Google Drive Knowledge Base: Stores product manuals, FAQs, and support documents in Google Drive for easy management.
Qdrant Vector Store: Efficiently stores and retrieves document embeddings for fast RAG operations.
Automated Workflow: Manages the entire query-response cycle from message receipt to sending a reply.

How To Use

Setup Webhook: Configure your WhatsApp Business API to send incoming messages to the n8n workflow's webhook URL.
Google Drive Setup: Upload your store's knowledge base documents (e.g., product manuals, FAQs) into a designated folder in Google Drive.
Qdrant Setup: Create a Qdrant instance and a collection for storing vector embeddings.
OpenAI API Key: Provide your OpenAI API credentials for embedding generation and chatbot responses.
Configure Nodes: Update the Qdrant Collection (COLLECTION) and QDRANTURL in the Qdrant Vector Store and Refresh collection nodes, respectively. Also, specify your Google Drive folder ID in the Get folder node.
Deploy and Test: Activate the workflow and send test messages via WhatsApp to interact with your AI chatbot.

Apps Used

RAG

automation

chatbot

google drive

openai

qdrant

Workflow JSON

{
  "id": "e4cf183d-88e6-41ee-961b-bfe30d67217d",
  "name": "Business WhatsApp AI RAG Chatbot for Electronics Stores",
  "nodes": 0,
  "category": "AI & Machine Learning",
  "status": "active",
  "version": "1.0.0"
}

Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.