# Introducing chunklet-py:

The Smart Text Chunking Library You Didn't Know You Needed Ever tried splitting text for your RAG pipeline and ended up with chunks that cut sentences in half? Or worse — chunks that lose all context between them? Yeah, I've been there too. That's exactly why I built chunklet-py — a Python library that actually understands text structure. This post hits the highlights — visit the full documentation for everything else, including: Custom sentence splitters for specialized languages Custom document processors for unusual file formats Custom tokenizers to match your LLM CLI flags for batch processing, parallel jobs, error handling, timeouts Advanced features like overlap, offset, strict mode, docstring modes The Problem with Dumb Splitting Here's what usually happens: # The naive approach chunks = [ text [ i : i + 500 ] for i in range ( 0 , len ( text ), 500 )] This works... until it doesn't: Sentences cut mid-way ("The model got 75%" → "75%" becomes meaningless) No context between chunks