For simple tasks like formatting and extracting structured data, using a large paid AI model is unnecessary. In this workflow, Llama 3.1 8B running on Groq handles the job just as well at a fraction of the cost.
Takes free-form text in any format and extracts, normalizes, and structures it into clean JSON output ready to connect to the next step in your workflow.
Comes pre-configured for invoice data extraction as an example:
Recipient name, tax office, tax ID, address, district, city, postal code, invoice date, line items (description, quantity, unit, unit price, VAT rate, total), subtotal, VAT amount, grand total.
Easily adaptable for any other use case by updating the system prompt and JSON schema.
For simple tasks like formatting and extracting structured data, using a large paid AI model is unnecessary. In this workflow, Llama 3.1 8B running on Groq handles the job just as well at a fraction of the cost.
Takes free-form text in any format and extracts, normalizes, and structures it into clean JSON output ready to connect to the next step in your workflow.
Comes pre-configured for invoice data extraction as an example:
Recipient name, tax office, tax ID, address, district, city, postal code, invoice date, line items (description, quantity, unit, unit price, VAT rate, total), subtotal, VAT amount, grand total.
Easily adaptable for any other use case by updating the system prompt and JSON schema.