chonkie-inc/cookbook

๐Ÿฆ› Chonkie's recipes for Agents, Context Engineering, and more! ๐Ÿง‘โ€๐Ÿณ Chonkie knows how to cook (and it cooks well!)

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Emerging

This project provides practical examples and tutorials for processing various document types, like PDFs and Markdown, into manageable pieces for AI systems. It helps data scientists, AI engineers, and researchers prepare unstructured text data for tasks like building question-answering systems over large document sets. You input documents and receive structured text segments, often with associated metadata, ready for use in advanced AI applications.

Use this if you need to break down complex documents into smaller, meaningful chunks for AI models or semantic search applications, especially for building Retrieval Augmented Generation (RAG) pipelines.

Not ideal if you are looking for a complete, out-of-the-box AI application rather than tools and examples for data preparation and pipeline construction.

document-processing information-retrieval AI-pipeline-building text-embedding knowledge-base-management
No Package No Dependents
Maintenance 10 / 25
Adoption 6 / 25
Maturity 15 / 25
Community 10 / 25

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Stars

15

Forks

2

Language

Jupyter Notebook

License

MIT

Last pushed

Feb 28, 2026

Commits (30d)

0

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