Intelligent Conversational Agent with Real-World Data Integration

This n8n workflow orchestrates a powerful conversational AI agent capable of interacting with real-world data. At its core, an Ollama-powered LLM acts as the brain, enhanced by LangChain for sophisticated agent capabilities. The agent is instructed via a system message to act as a helpful assistant, capable of utilizing both a Wikipedia tool for general information retrieval and a live weather API to fetch current weather and forecast data based on location. Crucially, the workflow incorporates window buffer memory, allowing the agent to recall the last 20 messages, ensuring continuity and context within conversations. This setup transforms a basic chatbot into an intelligent assistant that can perform research, provide up-to-date information, and engage in more meaningful interactions.