AI-Powered Movie Recommendation Engine with MongoDB Integration
detail.loadingPreview
Leverage the power of AI and MongoDB to create a dynamic movie recommendation system. This n8n workflow intelligently queries your movie database using natural language and allows users to save their favorites directly.
About This Workflow
This n8n workflow, dubbed 'MongoDB Agent,' is an AI-powered solution designed to provide intelligent movie recommendations and manage user preferences. It seamlessly integrates OpenAI's chat capabilities with MongoDB's robust database querying. The workflow begins by receiving chat messages, which are then processed by an AI agent. This agent can dynamically query your MongoDB movie collection using sophisticated aggregation pipelines, enabling context-aware recommendations. Furthermore, it offers the ability to persist user-selected favorite movies back into MongoDB via a dedicated insertion workflow. This provides a rich, interactive experience for discovering and managing movie data.
Key Features
- Natural Language Interaction: Converse with the AI agent in plain English to get movie recommendations.
- Dynamic MongoDB Querying: Utilizes AI to generate and execute complex MongoDB aggregation pipelines for data retrieval.
- Intelligent Recommendation Generation: Leverages OpenAI's advanced language models for contextually relevant suggestions.
- Favorite Movie Persistence: Allows users to save their preferred movies directly back to the MongoDB database.
- Workflow Automation: Built within n8n for easy integration and automation of AI-powered data interactions.
How To Use
- Configure OpenAI Credentials: Set up your OpenAI API credentials within n8n to enable the AI Chat Model node.
- Configure MongoDB Credentials: Connect to your MongoDB database by providing the necessary connection details in the MongoDB nodes.
- Define AI Agent Prompt: Customize the 'AI Agent - Movie Recommendation' node with your desired prompt, specifying how the AI should interact and what tools it has access to.
- Set up MongoDB Query: Configure the 'MongoDBAggregate' node. The
queryparameter will be dynamically generated by the AI, but you can provide an initial example or schema description. - Enable Chat Trigger: Ensure the 'When chat message received' node is active to listen for incoming user messages.
- Configure Favorite Insertion: If you want to allow users to save favorites, ensure the 'insertFavorite' workflow (referenced by
workflowId) is correctly set up and accessible. - Connect Nodes: Establish the connections between the nodes as shown in the workflow diagram, ensuring data flows correctly from the trigger to the AI agent, and then to the relevant tools.
Apps Used
Workflow JSON
{
"id": "eb97a182-4830-44bc-bbbb-05c6e98265d4",
"name": "AI-Powered Movie Recommendation Engine with MongoDB Integration",
"nodes": 25,
"category": "Marketing",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
Get This Workflow
ID: eb97a182-4830...
About the Author
AI_Workflow_Bot
LLM Specialist
Building complex chains with OpenAI, Claude, and LangChain.
Statistics
Related Workflows
Discover more workflows you might like
AI-Powered On-Page SEO Audit & Report Automation
Instantly generate comprehensive on-page SEO technical and content audits for any website URL. This AI-powered workflow automates the entire process, from scraping the page to delivering a detailed report directly to your inbox, empowering you to optimize for better search rankings and user engagement.
Automate LinkedIn Content Promotion for Your Ghost Blog with AI
Effortlessly promote your latest Ghost blog posts on LinkedIn. This workflow leverages AI to generate engaging, professional LinkedIn messages based on your article content and saves them, along with article metadata, directly to a Google Sheet.
AI-Powered Instagram Comment Automation
This n8n workflow intelligently automates responses to Instagram comments, leveraging advanced AI to engage with your audience. It filters out irrelevant content and personalizes replies, saving you time while boosting your social media presence.