This n8n workflow automates the process of receiving chat messages, analyzing SQL errors, and engaging AI models to diagnose and fix issues in PostgreSQL databases. It starts with a webhook trigger that captures user queries, then uses language models like OpenAI and OpenRouter to generate responses. The workflow intelligently detects errors, decides whether to auto-fix or seek user input, and manages chat history. It can also verify database schema conditions such as the existence of indexes on specific columns across multiple tables. This automation is invaluable for database administrators, developers, or support teams aiming to streamline error resolution, maintain database health, and enhance AI-powered troubleshooting in a conversational environment.

Node Count	>20 Nodes
Nodes Used	@n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.chatTrigger, @n8n/n8n-nodes-langchain.lmChatOpenRouter, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.openAi, code, if, merge, postgres, set, splitInBatches, stickyNote