Automate Your Spreadsheets with AI-Powered Data Integration
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Effortlessly transform your spreadsheet data into structured, AI-ready tables. This workflow automates the process of creating and populating database tables from your sheets, ensuring data integrity and efficient analysis.
About This Workflow
This n8n workflow, 'SHEETS RAG', is designed to streamline the process of integrating data from spreadsheets into a structured database. It intelligently infers data types, including currency and dates, and generates SQL queries for table creation and data insertion. The workflow dynamically identifies unique column names, ensures 'ai_table_identifier' is the primary key, and standardizes currency and date formats for consistent data handling. This enables you to leverage your spreadsheet data for advanced AI applications and robust database management without manual data cleaning and transformation.
Key Features
- Dynamic Table Creation: Automatically generates
CREATE TABLESQL statements based on your spreadsheet's columns. - Intelligent Data Type Inference: Detects and assigns appropriate SQL data types (e.g., TIMESTAMP, DECIMAL) for columns, including currency detection.
- Automated Data Insertion: Generates
INSERTqueries to populate the created tables with your spreadsheet data. - Column Name Standardization: Renames columns to a consistent format, especially for currency fields (e.g.,
amount_usd). - UUID Primary Key Generation: Automatically adds a unique
ai_table_identifieras a primary key for each row.
How To Use
- Connect Your Spreadsheet: Ensure your spreadsheet data is accessible to n8n (e.g., via Google Sheets or an upload node).
- Configure 'change_this' Node: In the node named 'change_this', specify the
sheet_nameparameter to match your spreadsheet's tab name. - Fetch Sheet Data: Use the 'fetch sheet data' node to retrieve all rows and columns from your specified sheet.
- Review 'create table query' Node: This node automatically generates the SQL for table creation. It infers column types and handles currency and date formats. You can inspect the
jsCodeto understand the logic. - Review 'create insertion query' Node: This node prepares the SQL for inserting data. It uses the column mapping from the previous node to ensure data is inserted into the correct columns and formats.
- Execute the Workflow: Run the workflow to create your database table and populate it with data from your spreadsheet.
Apps Used
Workflow JSON
{
"id": "07c6a083-af1a-476c-a589-b93f0338018e",
"name": "Automate Your Spreadsheets with AI-Powered Data Integration",
"nodes": 29,
"category": "Operations",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
Get This Workflow
ID: 07c6a083-af1a...
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