Hybrid Search Model Training
The Hybrid Search model simultaneously processes data inputs to intelligently determine and retrieve the most relevant information, offering a comprehensive and integrated search experience.
Status
The status section gives you critical information for use in managing and debugging anything where the output is not what is expected:
Status: This tells you the status of the model (Training, Training Failure, Trained, Saved But Not Trained)
Last Trained: This is the date of the last model training for DeepSearch
Last Catalog Sync: This is the last time the product information was updated from the brand
Last Product Field Validation: This is the last time the product fields were validated.
If Catalog Is Out Of Sync
There are two reasons a catalog update would fail:
Safe Update Threshold Exceeded: If too many products are removed (above the threshold). This can be solved by adjusting the product threshold, turning the safe update setting off, or by reducing the number of products being removed.
Catalog Feed Sync Fails: A sync failure can be caused by issues caused by the presence of special characters in the feed or formatting discrepancies. In addition or alternatively, the feed may not be accessible through your chosen method (URL, API, or manual upload). Check your sync method and product feed to ensure formatting is correct and special character rules are respected.
Hybrid Model Product Fields
In the Product Fields section, you can then choose the product fields to include in the training data set. These adjustments will differentiate models to have certain focus areas. This model setting can only use fields that exist. You may add custom product fields and incorporate those into your models as well.
Explicit Search Fields
