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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