AI-Powered Database Interaction with WordPress

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This workflow creates an AI-powered conversational interface that allows users to interact with a Supabase/PostgreSQL database through natural language. It integrates n8n, OpenAI, and PostgreSQL tools to enable dynamic SQL query generation based on user input. The set-up includes creating accounts on n8n, Supabase, and OpenAI, configuring database schemas, and establishing chat triggers. When a user sends a message, the workflow captures the input and invokes an AI agent that formulates SQL queries to retrieve or analyze data from the database. It supports querying tables, fetching data structures, and executing custom SQL queries, making data analysis accessible without specialized SQL knowledge. This setup is especially useful for non-technical users who need to access or analyze database data conversationally, saving time and simplifying data interactions.

Node Count

11 – 20 Nodes

Nodes Used

@n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.chatTrigger, @n8n/n8n-nodes-langchain.lmChatOpenAi, postgresTool, stickyNote

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