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A browser RAG demo retrieves four passages and summarizes them locally

bart.degoe.de by bart.degoe.de by bart 10 min read Editor score 7/10

The demo combines in-browser semantic search with a small language model that summarizes the four most relevant passages, and measures answer faithfulness. Local execution keeps typed questions on the user's machine; the excerpt does not give the measurement results.

What: Ask my blog runs RAG entirely in-browser: it retrieves four passages, then a small local model summarizes them in two sentences.
How: A score threshold can skip generation; a Web Worker uses transformers.js on WebGPU or WebAssembly and streams the answer.
Why it matters: Client-side retrieval and generation keep typed questions on the user's machine, avoiding a server or API key.

The browser retrieves passages, gates on relevance, prompts a model, and displays its generated answer. Sketched from the article's own text.

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