AcademyWorkflowsData and reporting

AI Data Extraction with Dynamic Prompts and Baserow

Operations and HR teams use it to fill a table from documents without editing the workflow each time.

  • Recommendedour rating
  • 2,500views on n8n
Open on n8n.io ↗

Paste it straight onto an n8n canvas with Ctrl+V or Cmd+V.

ai-data-extraction-with-dynamic-prompts-and-baserow.json

Loading the file...

What it does

This n8n template extracts data from a document using instructions written in the field descriptions of a Baserow table. When the input changes, the workflow reads those descriptions and updates the matching rows. The example uses a CV as the input and HR attributes as the columns.

Use cases

  1. 01Pull attributes from CVs into a Baserow table
  2. 02Change extracted fields by editing column descriptions
  3. 03Update rows when the source text changes

Connects

HTTP Request · Code · Basic LLM Chain · OpenAI Chat Model

Questions about
AI Data Extraction with Dynamic Prompts and Baserow.

What is AI Data Extraction with Dynamic Prompts and Baserow used for?

Operations and HR teams use it to fill a table from documents without editing the workflow each time. This n8n template extracts data from a document using instructions written in the field descriptions of a Baserow table. When the input changes, the workflow reads those descriptions and updates the matching rows. The example uses a CV as the input and HR attributes as the columns.

How do I import AI Data Extraction with Dynamic Prompts and Baserow into n8n?

Copy the workflow JSON from this page and paste it onto the n8n canvas with Ctrl+V or Cmd+V. Then connect your credentials in each node.

Is AI Data Extraction with Dynamic Prompts and Baserow safe to use?

It passed our automatic scan for credential theft, hidden instructions and risky install commands. Third party open source software. Sabemos AI does not maintain it. Check the code and permissions before you connect it to company data.