Create a Recipe Recommendation Chatbot with Qdrant and Mistral

This n8n workflow builds a recipe recommendation chatbot using Qdrant's vector store and Mistral embeddings. It scrapes HelloFresh's weekly menu, processes the data, and uses AI to suggest recipes based on user preferences.

n8n
Dmitri Volkov

39 workflows

The workflow integrates multiple components to deliver personalized recipe recommendations. It begins by scraping HelloFresh's weekly menu, extracting and processing the data into a format suitable for AI analysis. Recipes are vectorized using Mistral embeddings and stored in a Qdrant collection. The chatbot utilizes Qdrant's advanced recommendation API, allowing users to specify preferences and avoidances, thereby enhancing user satisfaction with tailored recipe suggestions.

$24.99
Last updated October 3, 2026
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code
html
wait
merge
stickyNote
httpRequest
manualTrigger
agent
chatTrigger

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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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