AI2sql Docs
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  • 1. Introduction
    • 1.1. What is AI2SQL?
    • 1.2. Key features of AI2SQL
    • 1.3. How to get started with AI2SQL
    • 1.4. What Users Can Ask AI2SQL
  • 2. AI2SQL Dashboard
    • 2.1. Accessing the dashboard
    • 2.2. Generating SQL based on predefined datasets
    • 2.3. Exploring sample queries and use cases
  • 3. Managing Tables
    • 3.1. Importing tables using DDL
    • 3.2. Manually adding tables
    • 3.3. Editing, Updating, and Deleting Table Information
    • 3.4. Importing Database Schema via CSV
  • 4. AI2SQL Workspace
    • 4.1. Navigating the workspace
    • 4.2. Generating SQL for specific database engines
    • 4.3. Selecting tables for SQL generation
    • 4.4. Saving and organizing queries in the workspace
  • 5. Formatting SQL
    • 5.1. Accessing the SQL formatter
    • 5.2. Customizing formatting options
    • 5.3. Applying formatting to your SQL queries
  • 6. SQL Fixer
    • 6.1. Identifying SQL errors with SQL Fixer
    • 6.2. Understanding common SQL error messages
    • 6.3. Resolving SQL errors using AI2SQL's suggestions
    • 6.4. Handling Long SQL Queries
  • 7. Formula Generator
    • 7.1. Overview of Formula Generator
    • 7.2. Excel, Google Sheets, and regex formula translation
    • 7.3. Power BI DAX formula translation
    • 7.4. Airtable formula translation
    • 7.5. Using Formula Generator to enhance SQL queries
  • 8. CSV Analyzer
  • 9. Database Connectors
    • 9.1. Supported database connectors
    • 9.2. Setting up database connections (MySQL, SQL Server, or PostgreSQL)
    • 9.2.1. AI2sql Oracle Cloud Connector
    • 9.3. Setting up MongoDB Connectors
    • 9.4. Google BigQuery Setup and Service Account Key Creation
    • 9.5. Generating SQL queries for connected databases
    • 9.6. Setting up Snowflake Connectors
    • 9.7. Troubleshooting AI2sql Connector Issues: A Comprehensive Checklist
    • 9.8. Requesting new database connectors
    • 9.9. System Security Overview
  • 10. Dataset Questions Generation
  • 11. AI2SQL ChatGPT Plugin User Guide
    • 11.1. Introduction
    • 11.2. Getting Started
    • 11.3. Obtaining Your Token
    • 11.4. Using Your Token
    • 11.5. Connecting Your MSSQL (SQL Server) Database
    • 11.6. Connecting Your MySQL Database
    • 11.7. Connecting Your PostgreSQL Database
    • 11.8. Generating SQL Queries
    • 11.9. Troubleshooting
  • 12. Troubleshooting and Support
    • 9.1. Common issues and solutions
    • 12.2. Chat Support
    • 12.3. Contacting AI2SQL support
    • 12.4. Community resources and forums
  • 13. Templates
    • 13.1. Custom Template Creation
    • 13.2. Save the Template
    • 13.3. Generate SQL Using Template
  • 14. AI2sql: SQL Generation from Database ER Diagrams
    • 14.1. Introduction
    • 14.2. SQL Generation Process
    • 14.3. Troubleshooting & FAQs
  • 15. AI2sql API Integration
  • 16. AI2SQL Dictionary Template
  • 17. AI2sql GPTs
    • 17.1. Getting Started
    • 17.2. Obtaining Your Token
    • 17.3. Connecting Your MySQL Database
  • 18. Connecting Your Local Database
  • 19. SQL File Uploader
    • 19.1 Generating SQL queries
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On this page
  • Step 1: Requirements
  • Step 2: Open AI2sql
  • Step 3: Initiate Connection
  • Step 4: Input Connection Details
  • Step 5: Test Connection
  • Step 6: Save Connection
  • Step 7: Querying Data
  1. 9. Database Connectors

9.6. Setting up Snowflake Connectors

Step 1: Requirements

Ensure that you have the following:

  • A Snowflake account

  • AI2sql Pro

  • Necessary database credentials

Step 2: Open AI2sql

Open your AI2sql Pro application. Navigate to the new feature that enables the connection to Snowflake.

Step 3: Initiate Connection

Click on the option to create a new connection. Select 'Snowflake' as the database you want to connect to.

Step 4: Input Connection Details

Enter your Snowflake account details, including:

  • Account

  • User Name

  • Password

  • Warehouse

  • Database

  • Schema

Step 5: Test Connection

Press the 'Add Connection' button to ensure that the information entered is correct and AI2sql can successfully connect to the Snowflake database. If the connection is unsuccessful, double-check your entered details.

Step 6: Save Connection

Once the test is successful, save the connection for future use.

Step 7: Querying Data

Now you can start querying your data. Simply enter your SQL query in the provided field and press the 'Execute' button. AI2sql Pro will run the query against your Snowflake database and return the results.

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Last updated 1 year ago