This n8n workflow enables dynamic retrieval and analysis of email metadata from a PostgreSQL database using natural language prompts. It starts with a manual trigger or chat input, loads the database schema, and converts it into a JSON file for easy processing. Users can ask natural language questions related to emails, and the workflow generates precise SQL queries based on the schema and user input, ensuring adherence to data types and schema constraints. The generated query runs against the database, and results are formatted and returned in an accessible manner. This system is ideal for automating email data analysis, generating on-demand SQL queries, and integrating AI-driven insights into email management and reporting.
Automated Email Schema Inquiry and SQL Query System
| Node Count | >20 Nodes |
|---|---|
| Nodes Used | @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.chatTrigger, @n8n/n8n-nodes-langchain.lmChatOllama, convertToFile, executeWorkflowTrigger, extractFromFile, if, manualTrigger, merge, postgres, readWriteFile, set, stickyNote |
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