LibraryChatbots & Messaging★ 7.0
HelloFresh Recipe Recommendation Bot
An n8n workflow that uses Mistral large language model API, Qdrant vector search, and SQLite to recommend recipes from HelloFresh's current weekly menu. It processes user inputs, queries recipe data, and provides tailored meal suggestions while excluding off-menu items.
▮▯▯Beginner5 min8 nodes
$9.00
SSL secureInstant access24h refund
Card payment via Dodo
Wise · Bank transfer
Wise emailvirginaiagency@gmail.com
Amount$9.00 USD
Referencevai-lib-hellof
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✦ Built with
n8nMistralQdrant
✦ Workflow at a glance
✦ What you get
In thebox.
- workflow.jsonReady-to-import n8n workflow file
- Setup guideStep-by-step deployment instructions
- Node documentationWhat each node does + how to tune it
- Sample dataTest inputs to verify it works end-to-end
- Community supportBest-effort via Telegram / GitHub
- Lifetime updatesNew versions delivered free, forever
✦ Setup
Live inthree steps.
01
Import
Open n8n → Workflows → New from JSON. Drop in the workflow.json you received.
02
Connect
Add credentials for each tool used (OpenAI key, Slack token, etc.). All shown in the setup guide.
03
Test & activate
Run on sample data to verify the flow. Toggle the workflow to active and you're shipping.
✦ Stack · 3 tools
The fullintegration map.
Automation
1
n8n
AI
1
Mistral
Database
1
Qdrant
✦ Related
More inChatbots & Messaging.
✦ Ready when you are
Deploy HelloFresh Recipe Recommendation Bot
Free to license through our library tier. Custom builds in 1–3 days.