This n8n workflow acts as an autonomous AI agent dedicated to providing movie recommendations and managing favorite movies through an interactive chat interface. When a chat message is received via a webhook, the workflow processes the input using OpenAI’s language model, which interacts with a MongoDB database of movies through aggregation queries. The workflow leverages LangChain nodes for natural language understanding, sentiment analysis, and decision-making. The AI agent can query the movie database to suggest top-rated movies, prompt user confirmation, and store selected favorites back into MongoDB. This setup is ideal for building intelligent chatbot features on a WordPress site, such as a movie recommendation assistant or a personalized favorites manager, enhancing user engagement and personalization.
AI-Powered Movie Recommendation and Favorites Workflow
Node Count | 6 – 10 Nodes |
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Nodes Used | @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.chatTrigger, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.toolWorkflow, mongoDbTool, stickyNote |
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