I ACCIDENTALLY BUILT A MEME SEARCH ENGINE

Summary from the TLDR Web Dev newsletter

This developer built a meme search engine as a way to learn about vector embeddings and image encoding. They used OpenAI's CLIP model to encode images into vector embeddings, which are a way to represent images or text as numerical vectors, for similarity searches. These embeddings were stored in a vector database, which then made memes searchable with just natural language.