Translate questions about e-mails into SQL queries and run them
26 nodes · convertToFile, readWriteFile, extractFromFile, chat, manual, postgres
- Engine
- n8n
- Nodes
- 26
- Trigger
- scheduled/triggered
- Source file
- 1245_Postgres_Extractfromfile_Automation_Triggered.json
Workflow flow
Chat Trigger
@n8n/n8n-nodes-langchain.chat
When clicking "Test workflow"
Manual
Ollama Chat Model
@n8n/n8n-nodes-langchain.lmChatOllama
WorkflowTrigger
ExecuteWorkflow
Load the schema from the local file
ReadWriteFile
Postgres
PostgreSQL
If file exists or already retried generating it
IF
Format empty output
Set
Extract data from file
ExtractFromFile
Format query results
Set
List all tables in a database
PostgreSQL
Combine schema data and chat input
Set
Combine query result and chat answer
Merge
List all columns in a table
PostgreSQL
Add table name to output
Set
Save file locally
ReadWriteFile
Check for trailing semicolon
IF
AI Agent
@n8n/n8n-nodes-langchain.agent
Convert data to binary
ConvertToFile
Extract SQL query
Set
Check if query exists
IF
Add trailing semicolon
Set
If ran manually
IF
23 steps · flows top to bottom, branches left to right
Browse by integration
Browse all integrations →Import into n8n
- Download the n8n JSON file (full or sanitized).
- In n8n: Workflows → Import from file.
- Open each node and reconnect credentials to your accounts.
- Test with manual execution before enabling triggers.
Sanitized JSON removes credential IDs — safer for sharing. Flow graph JSON is OpenRuna's lightweight format for diagrams and other tools, not n8n import.
Overview
Free n8n workflow: Translate questions about e-mails into SQL queries and run them. 26 nodes across convertToFile, readWriteFile, extractFromFile, chat, manual, postgres, lmChatOllama, executeWorkflow, with a downloadable JSON and a visual flow diagram on OpenRuna.
What this workflow does
"Translate questions about e-mails into SQL queries and run them" automates a convertToFile-to-readWriteFile flow in n8n across 26 nodes. 26 nodes · convertToFile, readWriteFile, extractFromFile, chat, manual, postgres It starts from a scheduled/triggered trigger and routes data through every node in order. OpenRuna renders the node graph and offers the JSON export so you can import and adapt it in minutes. Use it to learn integration patterns, fork it for your own use case, or deploy it quickly after reconnecting credentials.
Use cases
- Share it with your team as a documented reference for scheduled/triggered automations in the convertToFile stack.
- Study how data moves from convertToFile to readWriteFile before building your own variant.
- Use it as a starting template when wiring convertToFile, readWriteFile, extractFromFile, chat, manual, postgres, lmChatOllama, executeWorkflow — adjust node parameters to your accounts and record IDs.
- Import "Translate questions about e-mails into SQL queries and run them" into n8n, reconnect credentials for convertToFile, readWriteFile, extractFromFile, chat, manual, postgres, lmChatOllama, executeWorkflow, and run the same automation in your own workspace.
Example output
Imported into n8n, "Translate questions about e-mails into SQL queries and run them" exposes 26 configured nodes. Trigger type: scheduled/triggered. Integrations: convertToFile, readWriteFile, extractFromFile, chat, manual, postgres, lmChatOllama, executeWorkflow. Reconnect the convertToFile credential first, then walk the remaining nodes top to bottom. Run it once in test mode to verify any branch logic (Switch/IF nodes) before enabling production triggers.
Tips by platform
Claude
Paste the exported JSON for "Translate questions about e-mails into SQL queries and run them" into Claude and ask it to explain each of the 26 nodes. Claude is good at suggesting credential mappings for convertToFile, readWriteFile, extractFromFile, chat, manual, postgres, lmChatOllama, executeWorkflow, plus error-handling and idempotency improvements before you run it in production.
ChatGPT
Have ChatGPT generate a checklist for adapting "Translate questions about e-mails into SQL queries and run them" to your accounts — which convertToFile, readWriteFile, extractFromFile, chat, manual, postgres, lmChatOllama, executeWorkflow credentials to create and which node parameters to change first.
Cursor
Open the downloaded JSON in Cursor and use Agent mode to refactor hard-coded URLs into env vars, or to generate tests for any Code nodes. Keep the OpenRuna flow diagram open so you do not break connection order across the 26 nodes.
Frequently asked questions
- How do I import "Translate questions about e-mails into SQL queries and run them" into n8n?
- Click Download n8n JSON on this page, then in n8n choose Workflows → Import from file and select the downloaded file. Reconnect credentials on each node — the export carries credential IDs from the original author's instance, not working secrets.
- Which integrations does "Translate questions about e-mails into SQL queries and run them" use?
- It uses: convertToFile, readWriteFile, extractFromFile, chat, manual, postgres, lmChatOllama, executeWorkflow. The flow diagram above shows how each service connects across the 26 nodes. Filter OpenRuna by integration to find related workflows and tools.
- Can I import a sanitized export without credentials?
- Yes. Use "Download sanitized JSON" to strip credential references before sharing internally. You will still add your own convertToFile and readWriteFile credentials in n8n after import.
- What trigger type does "Translate questions about e-mails into SQL queries and run them" use?
- Trigger type: scheduled/triggered. After import, confirm the trigger node (webhook, schedule, or app event) matches your environment, then activate the workflow when you are ready to run it.
- Is "Translate questions about e-mails into SQL queries and run them" free to use?
- OpenRuna catalogs community n8n workflows under open licenses. Check the source corpus link for the original license; commercial use may require verifying the third-party API terms for convertToFile, readWriteFile, extractFromFile, chat, manual, postgres, lmChatOllama, executeWorkflow.
Related resources
- Agent
PraisonAI
24/7 AI employee team for automating complex challenges. Low-code multi-agent framework with handoffs, guardrails, memory, RAG, and 100+ LLM providers
- Agent
Prompt Optimizer
AI prompt optimization tool with multi-round iterative improvements, dual-mode optimization for system and user prompts, and multi-model support. Available as web app, desktop app, Chrome extension, and Docker deployment. AGPL-3.0 licensed
- Agent
Archon
Workflow engine for deterministic AI coding agents. Define development processes as YAML workflows (planning → implementation → validation → review → PR) with isolated Git worktrees for parallel execution. MIT licensed
- Agent
A2A Protocol
Agent2Agent (A2A) open protocol enabling communication and interoperability between opaque agentic applications. Donated to Linux Foundation by Google with 50+ technology partners. Apache 2.0 licensed
- Agent
CAMEL
First and best multi-agent framework for building scalable agent systems. Apache 2.0 licensed with extensive tooling for agent communication and task automation
- Agent
Neuron AI
PHP Agentic Framework for building production-ready AI driven applications. Connect components (LLMs, vector DBs, memory) to agents that can interact with your data. MIT licensed
- Agent
smolagents
Lightweight agent framework centered on tool use and code-executing workflows
- Agent
Supermemory
Memory API and app for AI agents that provides fast, scalable, context-aware storage and retrieval across projects. MIT licensed
