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A simple search engine from scratch
*if you include word2vec.
This refers to some function that takes a word and maps it onto N-dimensional space (in this case, N=300) where each dimension vaguely corresponds to some axis of meaning. compiled SQLite to Wasm so it could run on the client, built a virtual filesystem so it could read database files from the web, did some smart page fetching using the existing SQLite indexes, built additional software to fetch only small chunks of the database using HTTP Range requests We’ll design a metric that roughly tells us when our search engine is better or worse than a naive approach without word embeddings.
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