ChunkViz
Summary
ChunkViz is a tool designed to help users understand different text chunking and splitting strategies, particularly in the context of language models. The application allows users to upload text and visualize how various chunking methods, such as 'Character Splitter' and 'Recursive Character Text Splitter' (available in JavaScript, Python, and Markdown variants), divide the text. Users can adjust 'Chunk Size' and 'Chunk Overlap' parameters to observe their effects. The visualization uses different colors to represent distinct chunks, with overlapping text highlighted in orange. The tool also includes an explanation of 'superlinear returns' as a concept relevant to performance and growth, drawing parallels to business, knowledge acquisition, and exponential growth. It explains that language models perform better with focused, relevant information, and chunking is a strategy to provide this. The site notes that text splitters may trim whitespace, affecting visual continuity, and that overlap is capped at less than 50% of the chunk size. ChunkViz is open-sourced under the MIT License and developed by Greg Kamradt.