For a store, I need to assign a product to the correct category.
I have a table with 1,500 rows, each containing a category.
I ask a ChatGPT agent to find the best category in the table based on the product’s name and description.
When I do this manually, GPT-4o always finds the best category.
However, when I integrate it into an n8n workflow, I encounter an OpenAI: Rate limit reached error with the GPT-4o model. I suspect this is due to the size of the data in my table.
It works with the GPT-4o-mini model, but the results provided by the AI are often less accurate.
Is there a better approach to categorize my products?