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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