WhatsApp AI HelpDesk – Smart SupportBot Using Rapiwa API

Who it's for

This advanced n8n workflow is designed for customer support teams, e-commerce businesses, and service providers who want to automate their WhatsApp communication. It acts as a comprehensive virtual support agent capable of handling text, voice notes, images, and document analysis seamlessly.

Features

• Multi-Format Input Handling: Intelligently detects and processes incoming WhatsApp messages, routing them based on type (Text, Audio, Image, Document, Status, Reaction).
• AI Document Analysis: Automatically downloads, extracts, and analyzes content from PDFs, Excel (XLS/XLSX), CSV, JSON, and Text files to answer user queries based on the document content.
• Smart Media Interpretation:
  • Voice Notes: Transcribes audio messages using Google Gemini and provides concise summaries or replies.
  • Images: Analyzes uploaded images to understand context or identify issues and generates relevant text responses.
• Dynamic Knowledge Base: Connects to a central Google Sheet to retrieve product info, company details, and service data, ensuring the AI always has the latest information.
• Automated Support Logging: Automatically logs detected customer issues, suggested solutions, and categories back to Google Sheets for record-keeping and training.
• Integrated Documentation Search: Uses specific HTTP Request Tools to search across multiple product documentation sites (Salebot, Delix, SocialVibe, etc.) to provide accurate technical support.

Requirements

• OpenAI API: Required for the LangChain Agent (using models like gpt-4.1-mini) to generate intelligent conversational responses.
• Google Gemini API: Used for high-performance analysis of binary image and audio data.
• Rapiwa (WhatsApp): API credentials to receive and send messages via WhatsApp.
• Google Sheets & Docs: Google OAuth2 credentials are required to read product databases, save support logs, and fetch company documentation.
• HTTP Request Tools: Configured nodes to fetch documentation from external support desks (e.g., docs.salebot.app, docs.delix.cloud).

Important Notes

• Memory Management: The workflow includes a "Memory" node to maintain conversation context, allowing for multi-turn conversations with the user.
• File Support: While it supports many document types, unsupported file formats will trigger an automatic error message to the user.
• Tool Descriptions: Ensure the toolDescription in the Agent nodes accurately reflects your specific business rules for when to consult Google Sheets vs. external documentation.
• Binary Data Handling: The workflow relies on passing binary data correctly between the HTTP Request (Download) and the AI analysis nodes.

Support & Help

• WhatsApp: Chat on WhatsApp
• Discord: SpaGreen Community
• Facebook Group: SpaGreen Support
• Website: spagreen.net
• Developer Portfolio: Codecanyon SpaGreen