Pick a text splitter => visualize chunks. Great for RAG.
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Chunk Visualizer is a tool designed to split text into manageable chunks and visualize these segments. This application is particularly useful for Retrieval-Augmented Generation (RAG) systems, where understanding text chunks with overlap is essential. It helps users identify how text can be divided, analyze overlapping sections, and process information more effectively.
What is the purpose of overlapping chunks?
Overlapping chunks are used to maintain context between consecutive segments, which is especially important for RAG systems to understand relationships between different parts of the text.
Can I customize how the text is split?
Yes, Chunk Visualizer allows you to define custom rules for splitting text, ensuring flexibility for different use cases and applications.
What applications are supported by Chunk Visualizer for RAG?
Chunk Visualizer is designed to work with most RAG systems and is compatible with popular text generation models, making it versatile for a wide range of applications.