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Chunking components for the Sayou Data Platform

Project description

Sayou Chunking

Flexible text segmentation strategies for preprocessing large documents before embedding or RAG.


💡 Why Sayou Chunking?

sayou_chunking turns raw text into manageable, context-preserving chunks — a critical step for embedding pipelines and RAG.

  • Multiple Strategies: Fixed-length, recursive, semantic, structure-based.
  • LLM-Aware Chunking: Uses LLM cues to split logically.
  • Interoperable: Produces DataAtoms usable by Sayou Refinery or Assembler.

🚀 Quick Start

pip install sayou-chunking

🏗️ Core Concepts

  • Splitter: Defines the splitting strategy.
  • Plugins: Extend chunking logic for domain-specific use cases.

📜 License

Apache 2.0 License © 2025 Sayouzone

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