RAG Passage & Chunk Simulator

The RAG Passage & Chunk Simulator shows you exactly how AI search engines and retrieval-augmented-generation pipelines split your content into retrievable passages before embedding it. Paste any article or page, choose a chunk size (128 to 1024 approximate tokens), an overlap percentage and a split strategy — sentence boundaries, paragraphs or a fixed window — and instantly see the resulting chunks as numbered cards, each with its token estimate and the overlap text highlighted, plus summary tiles for total tokens, chunk count and average chunk size.

This free tool by Hosting Cambodia matters because systems like ChatGPT Search, Perplexity and Gemini never read your page whole: they retrieve and quote individual chunks. Content that splits into clean, self-contained passages — a clear heading followed by a complete answer — gets cited far more often than long text that is cut mid-thought. Businesses in Cambodia and Phnom Penh competing for AI answer visibility can use the simulator to restructure key pages so every chunk stands on its own, all client-side with nothing uploaded to any server.