AI WhatsApp Chatbot for Text, Voice, Images & PDFs with RAG - n8n Workflow | Neura Market

    AI WhatsApp Chatbot for Text, Voice, Images & PDFs with RAG

    Automates document ingestion from Google Docs into a MongoDB vector store and powers a multimodal WhatsApp chatbot using RAG for accurate, context-aware responses.

    This workflow template consists of two interconnected automations for tech support teams: Document Ingestion & Indexing, and AI-Powered WhatsApp Query Response. The ingestion workflow manually imports product documentation from Google Docs, splits it into searchable chunks, generates OpenAI embeddings, and stores them in MongoDB Atlas for semantic search. The chatbot workflow listens for WhatsApp messages, processes text, transcribes voice notes, analyzes images, and parses PDFs, then retrieves
    Platform
    n8n
    Category
    Travel
    Price
    $24.99
    Creator
    Jose Maurino
    • WhatsApp
    • Chatbot
    • RAG
    • OpenAI
    • MongoDB
    • Google Docs
    • Voice Transcription
    • Image Analysis
    • PDF Parsing
    • Vector Database
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    How to import this workflow into n8n

    1. 1Purchase or download the workflow to get the n8n workflow JSON file.
    2. 2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
    3. 3Open each node marked with a credential warning and connect your own accounts and API keys.
    4. 4Run the workflow once manually to verify the data flow, then toggle it to Active.

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