GPT-based attribute extraction from unstructured text

GPT-based attribute extraction from unstructured text

The platform module for automatic attribute extraction from unstructured product text now offers AI-assisted extraction and association of product properties with target attributes.

The implementation uses the latest generation of Generative Pre-trained Transformer (GPT) models which have been additionally refined with feedback from thousands of Onedot platform users and product data exports, resulting in substantially higher accuracy and completeness.

New user help for filtering list views

New user help for filtering list views

The list views of the Onedot app now also display hints on how to filter these views efficiently.

Of course, you can disable these notices at any time if desired.

New user help on feedback tasks

New user help on feedback tasks

Feedback tasks now also display user help on how to add and delete rows in a feedback task.

This allows, for example, attribute mapping and normalization tasks to be easily augmented with new associations.

Improved product tours

Improved product tours

The product tours were further revised and made even more understandable based on customer feedback.

Try it yourself and write us your suggestions and ideas for improvement!

Read/write CSV/Excel files in Onedot API

Read/write CSV/Excel files in Onedot API

The Onedot API has been extended to store additional settings and information for reading and writing CSV and Excel product catalogs.

For Excel files, for example, this can be used to override the tab, cell range, header/filter row processing, etc. For CSV files, information such as line separators, cell separators, escape characters, etc. can be overridden.

For more information, please refer to the Onedot API documentation.

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