Smarter RAG Chunking With Chunklet-py
Ever tried splitting text for your RAG pipeline and ended up with chunks that cut sentences in half? Or worse like 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 only the highlights and doesn't cover everything. 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
- The rich metadata you can get.
- CLI flags for batch processing, parallel jobs, error handling, timeouts
- Additional args like `n_jobs`, `lang`, `show_progress`, ...
⚠ Quick heads up!
This tutorial requires `chunklet-py v2.2.0+` and uses APIs not available in earlier versions.
Upgrade to the latest version and see the documentation or What’s New for details.
The Problem with Dumb Splitting
Here's what usually happens:
# The...
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