Ternlight is a highly efficient 7 MB embedding model that runs entirely in the browser via WebAssembly to enable on-device sentence embeddings on the CPU. By packaging the engine, weights, and tokenizer into a single lightweight file, it allows applications to perform local text searches, such as querying the React documentation, without relying on cloud infrastructure.