Ternlight – 7 MB embedding model that runs in browser (WASM)
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Ternlight 是一款轻量级嵌入模型，大小仅为 7 MB，可在浏览器中运行，无需 API 调用。它利用 CPU 进行计算，不依赖 GPU，能够以约 5 毫秒的速度快速嵌入文本。该模型以单个 npm 包的形式提供，无需下载额外模型或服务器，用户可以通过简单的三行代码实现语义搜索功能。…
An embedding model in 7 MB .
Runs on your CPU . No API .
Drop it in, embed text in milliseconds, and never call a server.
Runs in your browser
no API call
Engine + weights · 7 MB
mini variant · 5 MB
Fast embeddings · ~5 ms
CPU only · no GPU
USE IT
Three lines to semantic search
Ships as a single npm package. No model download step, no server.
$ npm install @ternlight/base
example.js
import { embed , similar } from '@ternlight/base' ;
similar ( 'easy weeknight dinner ideas' , recipes, { topK: 3 }); // → ranked matches · ~5 ms · zero network
EXAMPLE
React docs search
Search React's docs in your browser. Type a question — powered by @ternlight/mini , the 5 MB tier.