semantic-chunking and go-semantic-chunking
These are **competitors**: both implement semantic chunking algorithms to split documents into contextually coherent segments for LLM processing, with A being the established, production-ready option and B being an alternative implementation in Go.
About semantic-chunking
jparkerweb/semantic-chunking
🍱 semantic-chunking ⇢ semantically create chunks from large document for passing to LLM workflows
Performs semantic chunking by embedding sentences with ONNX models and grouping them based on cosine similarity scores, with configurable thresholds and optional chunk rebalancing. Supports multiple embedding models including quantized variants (q4, q8), and can return chunk embeddings for RAG workflows. Deployable as a Node.js library, microservice API, or Docker container with an included web UI for interactive configuration.
About go-semantic-chunking
njyeung/go-semantic-chunking
Sementic chunking algorithm in (mostly) Go
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