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Using Python and REST APIs to Vectorize Images and Store Them in Oracle Database

By

thatjeffsmith

2h ago· 7 min readen

Summary

The author describes their experience working with Oracle 23ai's VECTOR feature, having previously used text-based vectorization with Hugging Face models. They now explore extending this to image vectorization, using Python to process images from their Instagram feed, then leveraging REST APIs to upload the computed vectors to Oracle Database. The goal is to use SQL to compare and query image vectors directly in the database.

Source

bskyUsing Python and REST APIs to Vectorize Images and Store Them in Oracle Databasethatjeffsmith.com

Key quotes

· 3 pulled
I made my first venture into 23ai's VECTOR feature only a few weeks ago.
You can't load an LLM to Oracle that deals with pictures (yet??), so what am I do to?
The database is perfectly capable of dealing with the vectors once I have them, I just need to compute them somewhere other than from t
Snippet from the RSS feed
Using python to vectorize some images from my instagram feed, then some REST APIs to upload them to Oracle, where I can use SQL to compare them.

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