What is text chunking in RAG?

Text chunking is the process of splitting large documents into smaller pieces (chunks) that can be embedded into vector databases for retrieval-augmented generation. The chunk size and overlap affect retrieval quality.

What chunk size should I use?

Typical chunk sizes range from 200-1000 characters. Smaller chunks give more precise retrieval but less context. Larger chunks preserve more context but may reduce relevance. An overlap of 10-20% helps maintain continuity.

Does this tool upload my document?

No. All text processing happens locally in your browser. Your document data never leaves your device.

RAG Text Chunking Visualizer

Visualize how your documents will be split for RAG pipelines. Adjust chunk size and overlap, see color-coded segments, and export as JSON.

Chunk Configuration

lock Processing Locally

Document Text

Chunk Size

chars

Overlap

chars

Total Chunks

Avg Size

Total Chars

Overlap %

Chunk Visualization

Chunked text will appear here with color-coded segments...

info

About RAG Text Chunking Visualizer

The RAG Text Chunking Visualizer is a free tool for developers building Retrieval-Augmented Generation applications. When preparing documents for vector databases like Pinecone, Weaviate, or ChromaDB, choosing the right chunk size and overlap is critical. This tool lets you visualize exactly how your text will be split before processing, helping you fine-tune parameters for optimal retrieval performance.

Features

check Color-coded chunk visualization with overlap indicators
check Adjustable chunk size and overlap via sliders
check Statistics panel: total chunks, avg size, overlap ratio
check Export chunks as JSON array for direct pipeline use
check 100% client-side — your documents stay private

How to Use

Paste your document text into the input area
Adjust the chunk size using the slider or input field
Set the overlap to control context sharing between chunks
View the color-coded visualization and export when satisfied