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While the model manages to answer some questions, a lot of answers even to simple questions (like "what does flashing green light mean?" or "can you cross a solid yellow line?") are either wrong or said to be unavailable (despite the document containing them).
Is there a way to improve the accuracy of matching?
The text was updated successfully, but these errors were encountered:
I think you might've run into the number of pages limitation.
Document AI
The followinglimitsapply for online processing with the Document OCR processor.
Limit | Value
-- | --
Maximum file size | 20 MB
**Maximum pages | 15**
For documents that don't meet these limits, you can usebatch processingto extract the document text. (Not covered in this notebook.)
Document AI
The following [limits](https://cloud.google.com/document-ai/quotas) apply for online processing with the Document OCR processor.
Limit Value
Maximum file size 20 MB Maximum pages 15
For documents that don't meet these limits, you can use batch processing to extract the document text. (Not covered in this notebook.)
I followed the instructions from this notebook and started with just one document, a driving guide for British Columbia.
While the model manages to answer some questions, a lot of answers even to simple questions (like "what does flashing green light mean?" or "can you cross a solid yellow line?") are either wrong or said to be unavailable (despite the document containing them).
Is there a way to improve the accuracy of matching?
The text was updated successfully, but these errors were encountered: