The main issue is the software's performance when storing around 10 million or more documents. It becomes slow and needs improvement. Perhaps it's a cloud-related issue, but it needs to be addressed. It could be due to our S3 bucket or something else. Nevertheless, this is a significant challenge we're facing. Additionally, OpenText doesn't support certain file formats, such as .rai. Some of our analyzed documents come directly from machinery. We utilize an IoT device, and some of the analyzed document files are directly generated by the machine. We then store them in the S3 bucket. However, when attempting to import these documents from the S3 bucket to OpenText, they fail to open. This is the primary issue. As a result, we have to convert these files to PDF before they can be opened. So, I hope for improved performance, particularly with a large number of documents, in future releases of the solution. Currently, our old software stores only eight million documents. However, we have over 15 million documents in our legacy software because we've been using it for the past 15 years across the globe. We have over 50 million documents in total, but only eight million are currently stored. As a result, the performance was slow, comparatively slow.
