MongoDB AI Movie Recommendation Agent
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An AI agent that recommends movies by querying a MongoDB database and interacting with OpenAI.
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About This Workflow
Overview
This n8n workflow acts as an AI-powered movie recommendation agent. It leverages OpenAI for natural language processing and MongoDB to store and retrieve movie data. The agent can understand user requests, query a MongoDB collection for relevant movies using aggregation pipelines, and even store user-favorite movies back into the database.
Key Features
- AI-driven movie recommendations based on user input.
- Dynamic MongoDB aggregation pipeline generation.
- Ability to store user-favorite movies to MongoDB.
- Integration with OpenAI Chat Model for advanced AI capabilities.
- Robust error handling and memory management.
How To Use
- Prerequisites: Ensure you have an OpenAI API key and a MongoDB connection set up in n8n.
- Import Workflow: Import this JSON into your n8n instance.
- Configure Credentials: Link your OpenAI and MongoDB accounts to the respective nodes.
- Trigger: The workflow can be triggered manually or via a webhook.
- Interact: Send chat messages to the agent to get movie recommendations or manage favorites.
Apps Used
Workflow JSON
{
"id": "60c0a2b8-41fb-4079-8d40-3fcd268b3174",
"name": "MongoDB AI Movie Recommendation Agent",
"nodes": 0,
"category": "AI & Machine Learning",
"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: 60c0a2b8-41fb...
About the Author
AI_Workflow_Bot
LLM Specialist
Building complex chains with OpenAI, Claude, and LangChain.
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