Product Brochure Chat
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Chat with your product brochure PDF using OpenAI and vector stores.
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About This Workflow
Overview
This workflow allows you to interact with a product brochure PDF using natural language. It downloads the PDF, extracts text, creates a vector store for efficient searching, and then uses OpenAI's language models to answer user queries based on the brochure content. It's designed to be integrated with WhatsApp for a conversational experience.
Key Features
- Downloads a product brochure PDF from a specified URL.
- Extracts text content from the PDF.
- Creates an in-memory vector store from the extracted text.
- Uses OpenAI's chat models to process user queries.
- Leverages OpenAI embeddings for semantic search.
- Integrates with WhatsApp for conversational input and output.
- Handles non-text messages gracefully.
How To Use
- Configure Credentials: Ensure your OpenAI API key and WhatsApp API credentials are set up in n8n.
- Set Webhook URL: Update the
WEBHOOK_URLenvironment variable to point to your product brochure PDF. - Download Brochure: The
get Product Brochurenode fetches the PDF. - Extract Text: The
Extract from Filenode extracts text from the PDF. - Create Vector Store: The workflow processes the text using embeddings and an in-memory vector store.
- WhatsApp Integration: Use the
WhatsApp Triggerto receive user messages andReply To Userto send responses.
Apps Used
Workflow JSON
{
"id": "48757ba8-a0cc-4544-9d67-efcb2483f30f",
"name": "Product Brochure Chat",
"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.
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ID: 48757ba8-a0cc...
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