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Similar Shows Embeddings
Each show will have its transcript run through Open AI embeddings API, and that returned vector is stored in a DB.
Then with each vector we can do two things:
- recommend similar shows by searching for nearest neighbor
- We can even make a chat bot that answers questions like "What does Scott think about CSS variables?".
cloudflare workers now lets you store embeddings in their DB. So this might be a nice lightweight solution to both generate the embeddings + query them.
I will test to see if openai embeddings are better though