LibraryAI & Content Generation★ 8.0
Movie Recommender Chatbot with Qdrant & OpenAI
An n8n workflow that builds a conversational movie recommendation chatbot using GitHub-stored IMDb data, OpenAI embeddings and chat models, and a Qdrant vector database for similarity search to deliver personalized movie recommendations.
▮▮▯Intermediate15 min9 nodes
$9.00
SSL secureInstant access24h refund
Card payment via Dodo
Wise · Bank transfer
Wise emailvirginaiagency@gmail.com
Amount$9.00 USD
Referencevai-lib-movie-
VISA
AMEX
PayPal
Pay
GPay
✦ Built with
QdrantOpenAIn8nGitHub
✦ 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 · 4 tools
The fullintegration map.
Database
1
Qdrant
AI
1
OpenAI
Automation
1
n8n
Dev
1
GitHub
✦ Related
More inAI & Content Generation.
✦ Ready when you are
Deploy Movie Recommender Chatbot with
Free to license through our library tier. Custom builds in 1–3 days.