This n8n workflow enables dynamic interaction with structured data through natural language. It captures chat inputs via a webhook, extracts and processes database schema information, generates corresponding SQL queries, and executes them against a PostgreSQL database. The workflow then formats and prepares the query results for further analysis or visualization, including the option to visualize data with plotting agents or AI-driven insights. Practical use cases include data analysis automation, interactive dashboards, and natural language reporting in WordPress sites or other web-based platforms.
Transforming Text into SQL Queries and Visual Data
| 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, @n8n/n8n-nodes-langchain.outputParserStructured, convertToFile, extractFromFile, if, manualTrigger, merge, noOp, postgres, readWriteFile, set, stickyNote |
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