Developer & DevOps

Generate database queries from schema using AI

29 nodes 332 182 Automatic trigger
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Workflow Description

Automated SQL query generation from database schema alone. Receives schema description via chat, processes it through OpenAI-powered AI agent, maintains conversation memory, and delivers ready-to-execute queries with full history logged to file.

How it works

  1. 1.Receive database schema via chat interface
  2. 2.Process schema using AI agent with OpenAI language model
  3. 3.Generate SQL queries and store conversation in buffer memory
  4. 4.Save generated queries to output file
  5. 5.Validate query syntax and return results

Use cases

  • Developers needing to write complex queries without manual SQL composition
  • DevOps teams documenting and converting database schemas into efficient queries
  • Data analysts exploring databases without direct SQL knowledge

Requirements

  • Valid OpenAI API key with appropriate permissions
  • Active MySQL database connection configured
  • Read and write access to file system for query storage

Service Value

Ideal as a smart automation service combining integrations and AI to produce ready-to-use results.

Apps Used

OpenAI Memory MySQL Read Write File Chat Trigger AI Agent

Details

Trigger Automatic trigger
Nodes 29
Apps 6
Views 332
Downloads 182

How to Use

  1. 1.Click "Download Template"
  2. 2.Open your n8n dashboard
  3. 3.Go to Workflows > Import from File
  4. 4.Select downloaded file and configure credentials

Nodes Used (29)

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OpenAI Chat Model

OpenAI

#1

Window Buffer Memory

Memory Buffer Window

#2

No Operation, do nothing

No Op

#3

List all tables in a database

My Sql

#4

Extract database schema

My Sql

#5

Add table name to output

Set

#6

Convert data to binary

Convert To File

#7

Save file locally

Read Write File

#8

Extract data from file

Extract From File

#9

Chat Trigger

Chat Trigger

#10

AI Agent

Agent

#11

Sticky Note

Sticky Note

#12

Sticky Note1

Sticky Note

#13

When clicking "Test workflow"

Manual Trigger

#14

Sticky Note2

Sticky Note

#15

Sticky Note3

Sticky Note

#16

Combine schema data and chat input

Set

#17

Load the schema from the local file

Read Write File

#18

Extract SQL query

Set

#19

Check if query exists

If

#20

Sticky Note4

Sticky Note

#21

Sticky Note5

Sticky Note

#22

Sticky Note7

Sticky Note

#23

Sticky Note6

Sticky Note

#24

Sticky Note8

Sticky Note

#25

Format query results

Set

#26

Run SQL query

My Sql

#27

Prepare final output

Set

#28

Combine query result and chat answer

Merge

#29