Metadata-Version: 2.1
Name: semantic-chunkers
Version: 0.1.0.dev1
Summary: Super advanced chunking methods for AI
Author: Aurelio AI
Author-email: hello@aurelio.ai
Requires-Python: >=3.10,<3.13
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Provides-Extra: stats
Requires-Dist: colorama (>=0.4.6,<0.5.0)
Requires-Dist: colorlog (>=6.8.0,<7.0.0)
Requires-Dist: matplotlib (>=3.8.3,<4.0.0) ; extra == "stats"
Requires-Dist: numpy (>=1.26.0,<2.0.0)
Requires-Dist: pydantic (>=2.5.3,<3.0.0)
Requires-Dist: regex (>=2023.12.25,<2024.0.0)
Requires-Dist: requests-mock (>=1.12.1,<2.0.0)
Requires-Dist: semantic-router (>=0.1.0.dev2)
Requires-Dist: tiktoken (>=0.7.0,<1.0.0)
Description-Content-Type: text/markdown

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# Semantic Chunkers

<p>
<img alt="PyPI - Python Version" src="https://img.shields.io/pypi/pyversions/semantic-chunkers?logo=python&logoColor=gold" />
<img alt="GitHub Contributors" src="https://img.shields.io/github/contributors/aurelio-labs/semantic-chunkers" />
<img alt="GitHub Last Commit" src="https://img.shields.io/github/last-commit/aurelio-labs/semantic-chunkers" />
<img alt="" src="https://img.shields.io/github/repo-size/aurelio-labs/semantic-chunkers" />
<img alt="GitHub Issues" src="https://img.shields.io/github/issues/aurelio-labs/semantic-chunkers" />
<img alt="GitHub Pull Requests" src="https://img.shields.io/github/issues-pr/aurelio-labs/semantic-chunkers" />
<img src="https://codecov.io/gh/aurelio-labs/semantic-chunkers/graph/badge.svg?token=H8OOMV2TUF" />
<img alt="Github License" src="https://img.shields.io/badge/License-MIT-yellow.svg" />
</p>

Semantic Chunkers is a multi-modal chunking library for intelligent chunking of text, video, and audio. It makes your AI and data processing more efficient _and_ accurate.

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## 📚 Resources

### Docs

| Notebook | Description |
| -------- | ----------- |
| [Introduction](https://github.com/aurelio-labs/semantic-chunkers/blob/main/docs/01-video-chunking.ipynb) | Chunking videos with semantics |



