Automate Medical Product Recommendations Using AI and Google Sheets - n8n Workflow | Neura Market
Automate Medical Product Recommendations Using AI and Google Sheets
This workflow leverages AI to recommend medical products based on user symptoms by integrating Google Sheets, OpenAI, and Qdrant. Ideal for healthcare ecommerce businesses aiming to enhance their product recommendation systems.
This workflow utilizes retrieval-augmented generation (RAG) to process medical queries related to hair and scalp issues. It retrieves product data from Google Sheets, converts it into text embeddings using OpenAI, and stores these embeddings in a Qdrant vector database. When a chat message is received, the workflow performs a vector similarity search to find the best product matches and responds with the top three recommendations.
Platform
n8n
Category
Healthcare
Price
Free
Creator
Oliver Schmidt
stickyNote
googleSheets
manualTrigger
splitInBatches
agent
chatTrigger
lmChatOpenAi
embeddingsOpenAi
vectorStoreQdrant
memoryBufferWindow
How to import this workflow into n8n
1Purchase or download the workflow to get the n8n workflow JSON file.
2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
3Open each node marked with a credential warning and connect your own accounts and API keys.
4Run the workflow once manually to verify the data flow, then toggle it to Active.