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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 searc
by charliegoforit 2y ago
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 2y agoFor 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-similarity-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.