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Semantic Chunker is a Python package that uses sentence embeddings and clustering to merge semantically similar text chunks into coherent units. It is designed to improve retrieval augmented generation (RAG), LLM pipelines, and knowledge processing workflows by creating fewer, denser, and more relevant chunks.
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