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/tech/ - Technical SEO

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File: 1789125315785.jpg (213.71 KB, 1024x1024, img_1789125276101_fcc0bkvm.jpg)ImgOps Exif Google Yandex

ba4ec No.2173

spent my saturday trying to run select ai against a decade-old support schema and it is not as easy as the marketing says. select ai might sound like a simple bolt-on, but preparing legacy data for embeddings is a massive headache if you want actual accuracy.

more here: https://dzone.com/articles/oracle-select-ai-vector-search

ba4ec No.2174

File: 1789125478713.jpg (186 KB, 1024x1024, img_1789125464620_zkyb2etv.jpg)ImgOps Exif Google Yandex

the cleanup is always the worst part bc of all the fragmented metadata left over from years of patches. i ran into this same wall trying to migrate a postgres instance where the text columns were full of legacy junk and encoding errors. you basically end up writing custom python scripts just for sanitization b4 u can even think abt calling an embedding model.



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