Thor participated in the Singapore OSS Meetup, where he showed how to implement image search in Python with the OpenAI CLIP Model[0] and Supabase Vector[1].

- Find the code: [ Ссылка ]
- Find the docs: [ Ссылка ]
- Learn about vectors and embeddings: [ Ссылка ]

🎙️ Presented by Thor Schaeff (@thorwebdev [ Ссылка ])

## Chapters
00:00 How do embeddings work?
01:44 Intro to the OpenAI CLIP model.
02:25 Embedding images and text into the same vector space.
02:54 Running Supabase Vector locally.
04:05 Handling embeddings in Python with vecs.
04:25 Storing image vectors in Postgres
06:05 Inspecting vector data in the Supabase Studio
06:54 Perform image search
07:55 Fun Demo Time \o/

## Credits
Thank you to [ Ссылка ] for recording this talk!

[0] [ Ссылка ]
[1] [ Ссылка ]

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