Image Search in Python with OpenAI CLIP
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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: https://github.com/supabase/supabase/tree/master/examples/ai/image_search#image-search-with-supabase-vector - Find the docs: https://supabase.com/docs/guides/ai/examples/image-search-openai-clip - Learn about vectors and embeddings: https://supabase.com/blog/openai-embeddings-postgres-vector 🎙️ Presented by Thor Schaeff (@thorwebdev https://go.thor.bio/x) ## 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 https://engineers.sg/ for recording this talk! [0] https://github.com/openai/CLIP [1] https://supabase.com/vector
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