Automated Chat Response Handler with Persistent History

This n8n workflow automates handling chat messages by integrating language models, memory buffering, and database storage for contextual awareness. Starting with a webhook trigger that receives chat messages, it utilizes the Langchain AI agent to generate responses based on conversation history. The workflow maintains context using memory nodes, employs a Groq language model for advanced AI response generation, and subsequently stores chat data in a PostgreSQL database. This setup allows for scalable, context-aware chat interactions ideal for customer support bots, virtual assistants, or interactive platforms that require persistent conversation history and intelligent responses.