RAG-Powered WhatsApp Chatbot for Docs with GPT-4o-mini & MongoDB - n8n Workflow | Neura Market

    RAG-Powered WhatsApp Chatbot for Docs with GPT-4o-mini & MongoDB

    Automates document ingestion from Google Docs into MongoDB vector store and builds an AI chatbot on WhatsApp using RAG with GPT-4o-mini for accurate query responses.

    This workflow consists of two main parts: Document Ingestion & Indexing, and AI-Powered Query & Response via WhatsApp. The first workflow is manually triggered to import product documentation from Google Docs, splits large documents into searchable chunks, generates vector embeddings using OpenAI, and stores them with metadata in a MongoDB Atlas vector store for efficient semantic search. The second workflow listens for incoming WhatsApp messages, including text, audio (transcribed), images (an
    Platform
    n8n
    Category
    Internet of Things
    Price
    $24.99
    Creator
    Bryce Yu
    • RAG
    • WhatsApp
    • Chatbot
    • GPT-4o-mini
    • MongoDB
    • OpenAI
    • Google Docs
    • Vector Store
    • AI Automation
    • Support Bot
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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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