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Answer WhatsApp questions from PDF documents using RAG, Google Drive and Pinecone

n8nn8n14 modulesv1.0
WhatsAppOpenAIGoogle DriveGemini

Good to know: This workflow creates a WhatsApp chatbot that answers questions using your own PDFs through RAG (Retrieval-Augmented Generation). Every time you upload a document to Google Drive, it is processed into embeddings and stored in Pinecone—allowing the bot to respond with accurate, context-aware answers directly on WhatsApp. Who is this for? - Anyone building a custom WhatsApp chatbot. - Businesses wanting a private knowledge based assistant - Teams that want their documents to be sea

At a glance

Answer WhatsApp questions from PDF documents using RAG, Google Drive and Pinecone is a ready-made n8n workflow you import as a workflow JSON file — no build required. It connects WhatsApp, OpenAI, Google Drive, Gemini. It's free to download. Follow the 5-step import below to go live in minutes.

Platform
n8n
Connects
WhatsApp, OpenAI, Google Drive, Gemini
Modules
14
Price
Free
Version
v1.0
Answer WhatsApp questions from PDF documents using RAG, Google Drive and Pinecone workflow diagram

About this workflow

Good to know: This workflow creates a WhatsApp chatbot that answers questions using your own PDFs through RAG (Retrieval-Augmented Generation). Every time you upload a document to Google Drive, it is processed into embeddings and stored in Pinecone—allowing the bot to respond with accurate, context-aware answers directly on WhatsApp. Who is this for? - Anyone building a custom WhatsApp chatbot. - Businesses wanting a private knowledge based assistant - Teams that want their documents to be searchable via chat - Creators/coaches who want automated Q&A from their PDFs - Developers who want a no-code RAG pipeline using n8n What problem is this workflow solving? What this workflow does: ✅ Monitors a Google Drive folder for new PDFs ✅ Extracts and splits text into chunks ✅ Generates embeddings using OpenAI/Gemini ✅ Stores embeddings in a Pinecone vector index ✅ Receives user questions via WhatsApp ✅ Retrieves the most relevant info using vector search ✅ Generates a natural response using an AI Agent ✅ Sends the answer back to the user on WhatsApp How it works: 1️⃣ Google Drive Trigger detects a new or updated PDF 2️⃣ File is downloaded and its text is split into chunks 3️⃣ Embeddings are generated and stored in Pinecone 4️⃣ WhatsApp Trigger receives a user’s question 5️⃣ The question is embedded and matched with Pinecone 6️⃣ AI Agent uses retrieved context to generate a response 7️⃣ The message is delivered back to the user on WhatsApp How to use: - Connect your Google Drive account - Add your Pinecone API key and index name - Add your OpenAI/Gemini API key - Connect your WhatsApp trigger + sender nodes - Upload a sample PDF to your Drive folder - Send a test WhatsApp message to see the bot reply Requirements: ✅ n8n cloud or self-hosted ✅ Google Drive account ✅ Pinecone vector database ✅ OpenAI or Gemini API key ✅ WhatsApp integration (Cloud API or provider) Customizing this workflow: 🟢 Change the Drive folder or add file-type filters 🟢 Adjust chunk size or embedding model 🟢 Modify the AI prompt for tone, style, or restrictions 🟢 Add memory, logging, or analytics 🟢 Add multiple documents or delete old vector entries 🟢 Swap the AI model (OpenAI ↔ Gemini ↔ Groq, etc.)

n8n

How to import this n8n workflow

  1. 1

    Download the workflow JSON file after purchase.

  2. 2

    Open n8n → click the menu → Import from File.

  3. 3

    Select the downloaded JSON and import.

  4. 4

    Set up credentials for each node that requires them.

  5. 5

    Click Execute Workflow to test, then activate.

Setup guide

Setup guide included

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