Skip to main content

[DEV} 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

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

sayou_chunking_dev-0.0.2.tar.gz (12.7 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

sayou_chunking_dev-0.0.2-py3-none-any.whl (16.7 kB view details)

Uploaded Python 3

File details

Details for the file sayou_chunking_dev-0.0.2.tar.gz.

File metadata

  • Download URL: sayou_chunking_dev-0.0.2.tar.gz
  • Upload date:
  • Size: 12.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for sayou_chunking_dev-0.0.2.tar.gz
Algorithm Hash digest
SHA256 7842a37b9d97aab0e8caf446b51c36aa4c83f0b4cee7f4a1c2c0adc04ae1789e
MD5 01e6e83d1f806e46adea4d0cb521dce3
BLAKE2b-256 ebaa22b92c763e8160eda9ed6b1a9523f8c445ac2d2d308ab0659dcf0850d2f4

See more details on using hashes here.

File details

Details for the file sayou_chunking_dev-0.0.2-py3-none-any.whl.

File metadata

File hashes

Hashes for sayou_chunking_dev-0.0.2-py3-none-any.whl
Algorithm Hash digest
SHA256 e2099d5fc254b75517f11a422e9e6dbfc4332537238486b2c8c2f576139981e6
MD5 fabd20e385eb35b89c3e12e7cb982d62
BLAKE2b-256 babae2626ee5fa1f9c94f19dba84fd0239384e01e6b63119d4fb44793bfdd7f1

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page