Latenode
MySQL
OpenAI GPT Assistants

Automated SQL query generation from database schemas

This AI-powered workflow simplifies data analysis by automatically generating SQL queries based solely on the database schema, without requiring access to the actual data. The user provides the database connection details and schema information, which are then passed to an AI language model.

The AI agent analyzes the schema and generates the appropriate SQL queries, which are executed, and the results are presented to the user in a formatted output. This approach allows users to quickly retrieve and analyze data without needing deep SQL expertise, making it a valuable tool for data analysts and business users working with relational databases.

Updated Apr 6, 2026Est. run: 26sEst. cost: $0.0703
How Latenode estimates time and cost

Latenode bills workflow runs in credits: 1 credit = 30 seconds of processing. Minimum charge per run depends on your plan. Plug-and-Play (PnP) AI nodes are billed separately—each PnP token is $1 USD, charged pay-as-you-go at vendor cost plus a small processing fee, with no API keys required.

Full pricing — how credits work →
Integrations & automation

Workflow preview

What this template does

  • Automatically generates SQL queries based on a provided database schema
  • Enables data retrieval and analysis without deep SQL expertise
  • Presents query results in a formatted output for easy interpretation
  • Supports connection to MySQL databases through integration
  • Produces SQL queries that can be executed to retrieve desired data

How it works

1
Trigger

Provide database connection details

The user inputs the necessary database connection details, such as the server address, username, and password, to establish a connection to the target relational database.

2
Action

Fetch database schema

The system connects to the database and retrieves the schema information, including a list of all tables and their structures.

3
Logic

Analyze database schema

An AI language model analyzes the database schema to understand the relationships and structure of the data, preparing to generate appropriate SQL queries.

4
AI

Generate SQL queries

Based on the schema analysis, the AI agent automatically generates the necessary SQL queries to retrieve the desired data, without requiring the user to write the queries manually.

5
Action

Execute SQL queries

The generated SQL queries are executed against the database, and the resulting data is returned to the user.

6
Action

Format and present results

The retrieved data is formatted and presented to the user in a clear and organized manner, enabling them to easily analyze and work with the data.

Setup guide

1

Add MySQL Credential in Latenode

1. In the Latenode Credentials panel, add a new MySQL credential. 2. Enter the connection details for your MySQL database, including the host, port, database name, username, and password.

2

Add OpenAI Credential in Latenode

1. In the Latenode Credentials panel, add a new OpenAI credential. 2. Enter your OpenAI API key.

3

Configure MySQL Node in Latenode Builder

1. In the Latenode visual builder, add a MySQL node. 2. Select the MySQL credential you created earlier. 3. In the node settings, configure the database connection details.

4

Configure OpenAI Language Model Node in Latenode Builder

1. In the Latenode visual builder, add an OpenAI Language Model node. 2. Select the OpenAI credential you created earlier. 3. In the node settings, configure the model parameters and any additional options.

5

Map Input and Output Data in Latenode Builder

1. Connect the MySQL node to the OpenAI Language Model node. 2. In the node settings, map the database schema data from the MySQL node to the input of the OpenAI node. 3. Configure the output mapping to display the generated SQL queries and results.

Requirements

Obtain OpenAI API key and ensure it has access to the GPT model needed for the workflow
Configure MySQL database connection details, including host, port, username, password, and database name
Grant the MySQL user account permissions to read from the relevant database tables
Ensure the Latenode workspace has the necessary 'headless-browser' and 'mysql' nodes enabled and configured with the required secrets and variables

FAQ

Common questions about this template

Each run uses credits on your Latenode plan. We charge for processing time (1 credit = 30 seconds). Your actual cost depends on your plan and how long the run takes. See pricing plans for plans and how credits work.
Contact support →

More templates

You might also like

Browse all templates →
Integrations & automation

Monitor websites, curate a personalized RSS feed

This automation allows users to create a customized RSS feed by monitoring specific websites or keywords for new content, and then aggregating that data into a personalized RSS feed. Users can filter and categorize the results based on their preferences. The system triggers on new items in an existing RSS feed, captures the details of those items (title, source URL, content, author info, media, etc.), and adds them to the user's custom RSS feed. This enables users to curate and share a personalized feed of relevant content.

7s$0.0004
Integrations & automation

Automatically translate new Discord messages using Google Cloud Translate

This automation integrates Discord and Google Translate to monitor specific Discord channels for new messages. When a new message is detected, the automation will automatically translate the text into a target language using Google Translate and then post the translated message back to Discord or another destination. This allows users to stay connected with their communities across language barriers, facilitating global collaboration and discussion within the Discord platform.

26s$0.0703
Integrations & automation

Translate Telegram messages to any language via Google Translate

This automation workflow allows users to monitor a Telegram chat or channel, automatically detect new messages, translate the text into a target language using Google Translate, and then send the translated version back to the same Telegram chat or save it to a designated destination. This integration between Telegram and Google Translate streamlines cross-language communication, making it easier for users to stay connected and understand content shared in different languages. The automation simplifies the process of translating messages, saving time and effort for users who need to communicate across language barriers.

26s$0.0703