Match medical symptoms to products with OpenAI, Qdrant & Google Sheets RAG

🧠 RAG AI Medical Agent – n8n Workflow

👥 Who’s it for This workflow is perfect for: - Healthcare ecommerce businesses that want to automate product recommendations. - Founders or developers building an AI assistant using retrieval-augmented generation (RAG) with product data. - Anyone wanting to combine OpenAI, Qdrant vector search, and Google Sheets to power intelligent medical queries.

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⚙️ How it works / What it does

This RAG-based workflow allows users to ask medical questions related to hair or scalp issues (e.g., hair loss, thinning). It:

1. Retrieves product info from a Google Sheet. 2. Converts product data into text embeddings using OpenAI. 3. Stores those embeddings in a Qdrant vector database. 4. On chat message trigger, performs a vector similarity search to match user symptoms with relevant products. 5. Uses an AI agent to respond with top 3 matching products from your catalog.

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🛠️ How to set up