Tabular Quality Audit

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If you're here, you might have been directed by the Knowledge Hub or you’re just exploring the Insight Goat AI Help Center. Either way, welcome!

What is a Tabular Quality Audit?

The Tabular Quality Audit is our internal check to ensure your tabular data, like Google Sheets or CSV files, is ready before training your AI agent. It’s all about making sure your data is clean and optimized for the best possible performance.

Why does it matter?

If any row in your table exceeds 2048 characters, the AI might break it up, leading to inconsistent answers. This audit ensures your data stays accurate and reliable during training.

What should you do?

Make sure each row of your table stays within the 2048-character limit. It applies to every row in your dataset to guarantee smooth and efficient AI training.