This workflow creates an AI-powered movie recommendation agent that interacts via chat and leverages MongoDB for data retrieval and storage. It uses OpenAI’s language model to handle chat inputs, queries a MongoDB database for movies based on user preferences, and allows users to save favorite movies back into the database. The process involves capturing chat messages through a webhook, processing them with an AI model, executing database queries with MongoDB, and managing context with a buffer memory.

Node Count	6 – 10 Nodes
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