AI Data Extraction with Dynamic Prompts and Baserow

This n8n workflow implements the Dynamic Prompts pattern for AI data extraction tasks, particularly useful when attributes are unknown or need flexibility. It reacts to changes in Baserow's 'input' field (e.g., a PDF resume) or attribute fields, automatically extracting and updating data using prompts defined in Baserow field descriptions. This eliminates the need to edit the workflow for new attributes, making it highly reusable across tables.

Key benefits include reduced maintenance, scalability for multiple tables, and seamless integration with Baserow. Prompts live outside the template in field descriptions, allowing non-technical users to adjust extraction instructions anytime. Ideal for HR teams extracting resume data like name, experience, skills without custom coding.

Use cases: Automate resume parsing for talent acquisition, invoice data extraction from PDFs, or any unstructured text analysis. Supports Airtable variant too. Watch the n8n Studio episode or community post for setup details.