AI Powered Movie Recommendation with MongoDB
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An AI agent that recommends movies by querying a MongoDB database and can save user favorites.
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About This Workflow
Overview
This workflow leverages an AI agent, powered by OpenAI and integrated with MongoDB, to provide movie recommendations. It can process chat messages, query a movie collection in MongoDB using aggregation pipelines, and even store user-selected favorite movies back into the database.
Key Features
- AI-driven movie recommendations based on user input.
- Dynamic querying of MongoDB using aggregation pipelines.
- Ability to store user-favorite movies in MongoDB.
- Integrated error handling for robust execution.
How To Use
- Import the workflow into your n8n instance.
- Configure the 'OpenAI Chat Model' node with your OpenAI API credentials.
- Configure the 'MongoDBAggregate' node with your MongoDB connection details.
- Ensure the MongoDB database has a 'movies' collection with the specified document structure.
- Trigger the workflow via the 'When chat message received' webhook or manually.
Apps Used
Workflow JSON
{
"id": "9414c8e4-4337-4a52-98b0-20378bf35d3c",
"name": "AI Powered Movie Recommendation with MongoDB",
"nodes": 0,
"category": "AI & Databases",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
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ID: 9414c8e4-4337...
About the Author
Crypto_Watcher
Web3 Developer
Automated trading bots and blockchain monitoring workflows.
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