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A zero-framework, low-latency semantic chunker with visual HTML debugging.

Project description

AeroChunk

A zero-framework, low-latency semantic chunker for RAG pipelines with visual HTML debugging.

Stop installing massive frameworks just to split text. AeroChunk relies entirely on local execution (sentence-transformers and numpy) to find semantic boundaries, resulting in zero API costs and zero dependency bloat.

Why AeroChunk?

In out-of-the-box testing on standard repetitive text, LangChain's SemanticChunker fails to identify proper thresholds, resulting in massive, unusable chunks. AeroChunk properly segments the data while matching LangChain's execution speed.

Library Time (Seconds) Chunks Generated
AeroChunk 7.51s 72
LangChain (Semantic) 7.53s 1 (Failed to split)

Features

  • Zero Framework Bloat: No LangChain, no LlamaIndex.
  • Visual Debugging: Call .export_debug_html() to generate an HTML file showing exactly where and why semantic boundaries were drawn in your text.

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