[charliegoforit]

Hi, this looks really cool.

What LLM’s are you using ?

And how is this working “Parses every photo through an embeddings vector space so that people can search for whatever they want”

Thank you

[travisleestreet]

For the image search portion specifically, we use Google’s embedding model. We then use vector search (https://cloud.google.com/alloydb/docs/ai/run-vector-similari...) to calculate the distance between the search phrase and pre-calculated embeddings for each image.

Then there’s a bit of ranking and scoring magic to build a results set.