RAG Document Chunking Preview

Chunking Preview simulates overlap-aware recursive text chunking for Retrieval Augmented Generation (RAG) pipelines. RAG systems split documents into chunks for embedding and retrieval — the chunk size, overlap, and splitting logic determine what context is retrieved and how well it answers questions. This tool lets you experiment with chunking parameters without writing code, visualizing exactly how a document breaks into chunks and where the overlaps fall.

The splitter recursively traverses the text, splitting on paragraph breaks, then newlines, then sentences, then words — whichever yields chunks within the size limit. Overlap is handled by including the last N characters of the previous chunk at the start of the next chunk. The visualization shows each chunk with a distinct color, highlighting the overlap region so you can see exactly where boundaries fall.