RAG Text Chunker (split for Embeddings)
Divide long-form text into chunks optimized for Embedding / RAG ingestion. Supports 4 strategies: fixed character count, fixed token count, paragraph-based, and Markdown heading-based chunking; includes overlap adjustment, chunk visualization, and JSON / JSONL / Markdown export options.
100% Free
No signup
Browser-only
Instant download
5 languages
Dark mode
Chunks
0
Avg size
0
Max
0
❓ Frequently Asked Questions
Recommended chunk size?
Embedding models: 256-512 tokens (OpenAI text-embedding-3-small) / 512-1024 (Voyage, Cohere). Big enough to preserve meaning
How much overlap?
10-20% of chunk size is standard — prevents context loss at boundaries
Why heading strategy?
Semantic chunks → often higher retrieval precision than fixed size (esp. for docs / code / FAQ)
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