Show HN: Rust-powered document chunker for RAG – 40x faster, O(1) memory

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I built a document chunking library for RAG pipelines with a Rust core and Python bindings.The problem: LangChain's chunker is pure Python and becomes a bottleneck at scale — slow and memory-hungry on large document sets.What Krira Chunker does differently:- Rust-native processing — 40x faster than LangChain's implementation- O(1) space complexity — memory stays flat regardless of document size- Drop-in Python API — works with any existing RAG pipeline- Production-ready — 17 versions shipped, 315+ installspip install krira-augmentWould love brutal feedback from anyone building RAG systems — what chunking problems are you running into that this doesn't solve yet?Comments URL: https://news.ycombinator.com/item?id=47196069Points: 4# Comments: 0