Automated Database Querying via AI Chat and WordPress Integration

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This n8n workflow enables seamless interaction with a MySQL database through an AI-powered chat interface, particularly integrated with WordPress. The workflow starts by loading a database schema from a local file, which significantly enhances response speed and ensures the AI ‘knows’ the database structure without performing slow remote fetches. When a chat message is received, the workflow extracts relevant database schema data and prepares a prompt for the LangChain AI agent. This agent generates SQL queries based on user questions but does not execute them directly. Instead, if a query is needed, it is extracted, checked, and then run against the database via SQL nodes. The query results are formatted and combined with the chat response, providing users with accurate, real-time data insights. This setup is useful for chatbots or virtual assistants that need to access and display dynamic database content within a WordPress environment, without exposing sensitive data or overloading the database with repeated requests.

Node Count

>20 Nodes

Nodes Used

@n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.chatTrigger, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.memoryBufferWindow, convertToFile, extractFromFile, if, manualTrigger, merge, mySql, noOp, readWriteFile, set, stickyNote

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