MongoDB AI Chat Agent for Movie Recommendations

This n8n workflow turns a MongoDB movie database into a conversational recommendation engine. Chat naturally with the AI Agent about what you feel like watching, and it queries your MongoDB collection through an aggregation tool to surface fitting suggestions, remembering your stated preferences and previously mentioned favorites via built-in memory for more accurate results over time. Users can also save movies they like directly through the chat, which the agent inserts back into the database. It's a great template for developers who want to see how to combine MongoDB, conversational memory, and tool-calling in a real, usable AI agent.

Category: Database & Integration