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

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+ installs pip install krira-augment Would 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=47196069 Points: 4 # Comments: 0