Semantic Text Chunker — Split Text by Meaning
Split long documents into coherent, token-aware chunks at semantic boundaries — ideal for RAG and LLM pipelines.
Stop cutting text at arbitrary character counts. The semantic chunker splits long documents into coherent chunks at meaning boundaries, with token and character counts per chunk — ideal for retrieval (RAG), embeddings, and prompt context. Free 5 chunkings per day per IP, no signup.
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Frequently asked questions
Is the semantic chunker free?
Yes — 5 free chunkings per day per IP, no signup. After the limit, continue via the DeFi Intel Agent Gateway API (pay-per-use) or a prepaid API key.
How is this different from a simple splitter?
Instead of cutting at a fixed character count, it detects semantic boundaries — end of sections, topics, or paragraphs — so each chunk is coherent and self-contained.
What output do I get?
An ordered list of chunks, each with its text, token count and character count, plus the total chunk count.
Is it good for RAG?
Yes — semantic chunks produce better retrieval results than naive fixed-size splits because each chunk is topically coherent and closer to a natural "answer unit".
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