#53 · Primary category: Knowledge Base & RAG

chonkie

ai chonkie chunker chunking-algorithm llms rag retrieval-systems semantic-chunker similarity-search splitting-algorithms text-splitter

🦛 CHONK docs with Chonkie ✨ — The lightweight ingestion library for fast, efficient and robust RAG pipelines

Project last updated:08/26/26

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4.7K

Forks

352

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49

License

MIT

Why we included this project

If you have built a retrieval pipeline by hand, you know the pain of writing text splitters that behave oddly at paragraph boundaries. Chonkie packages the common chunking strategies, from simple token and sentence splits up to semantic and LLM-driven ones, into one lightweight Python library, so you can swap approaches without maintaining splitter code yourself. It can also run the whole ingestion path, fetching a document, cleaning it, chunking, refining, embedding, and handing the result to a vector store, and an optional self-hosted REST API exposes the same logic to non-Python services. The default install stays small and integrations cover dozens of tokenizers, embedding providers, and vector databases, which keeps splitting consistent and reproducible across different retrieval setups.

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