Running Semantic Search Entirely in the Browser Without a Server

Semantic/Hybrid Search in the Browser

I replaced my heavy server-side search with a lightweight client-side solution using a static lookup table instead of a neural network. By leveraging model2vec and quantizing the data to just 4 MB, I achieved semantic search capabilities that run instantly in the browser. This approach eliminates the need for expensive APIs or large model downloads, proving that sophisticated search can be incredibly efficient.

"The model's stopword list is its row magnitudes."