Quick start
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Set params
Chunk size ≥100 chars; overlap must be less than chunk size.
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Paste document
Live preview of each chunk length and text.
Set chunk size and overlap to split long Markdown or plain text. Preview RAG chunking before embedding and retrieval tuning.
Read the full guide: LLM Prompts and Context: Token Budgets and Templates →
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↓ Paste in the input area below to see results instantly
Split long documents by character count with optional overlap. Useful for RAG indexing and context previews.
1 chunk(s)
Chunk #1 (94 chars)
# Doc Paragraph one with enough text for RAG chunking. Paragraph two continues the document.
Min chunk size 100; overlap must be less than chunk size. Tune with semantic boundaries and embedding limits in production.
Set chunk size and overlap to split long Markdown or plain text. Preview RAG chunking before embedding and retrieval tuning.
Set params
Chunk size ≥100 chars; overlap must be less than chunk size.
Paste document
Live preview of each chunk length and text.
Character splits are a start; add semantic boundaries (headings, paragraphs) in production.
Split Markdown by headings or max size while preserving structure for embedding or batch translation.
Use for technical doc RAG, long README chunking, and localization pipeline units.
After pasting long documents into the input box, set a chunk size of 500-1000 characters (ideal for most RAG systems). Click 'Split' to instantly preview chunks, with 10-20% overlap recommended for context continuity. Results allow copying single chunks or exporting all, ready for Embedding APIs or vector databases.
For code documentation, preserve Markdown syntax marks (like code block ``` symbols). Verify no accidental code truncation occurs, adjustable via chunk size or manual separators. Code docs may require smaller chunks (e.g., 300 chars) than plain text for logical integrity.
Input
200 chars, 40 overlap
Output
Multiple indexed chunks
Character-based; use Token Estimator for token budgets.
This balances strict character limits. For complete sentences, increase chunk size or enable 'Prioritize Paragraphs' (slightly exceeds limits). Technical docs may tolerate minor truncations as RAG retrieval often recovers context via overlapping chunks.