ekimetrics/adaptive-chunking
Adaptive Chunking: automatically select the best chunking method per document for RAG. Accepted at LREC 2026.
- Stars
- 397
- Forks
- 43
- Open issues
- 2
- Last push
- 3mo ago
About adaptive-chunking
adaptive-chunking is a free, open-source RAG and AI search tool by ekimetrics, written mainly in Python. Adaptive Chunking: automatically select the best chunking method per document for RAG. Accepted at LREC 2026. It has 397 GitHub stars and 43 forks, and was last updated 3mo ago. It's released under the MIT license, a standard open-source license.
- License
- MIT
- Language
- Python
- Stars
- 397
- Last update
- 3mo ago
- Runs on Mac
- Not stated
- GPU
- Not stated
- Paid API key
- Not stated
- Self-hostable
- Not stated
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adaptive-chunking FAQ
Is adaptive-chunking free?
Yes. adaptive-chunking is open source and free to use. It's released under the MIT license, a standard open-source license.
Does adaptive-chunking run on a Mac?
The project doesn't say. Check its installation guide before you start.
Does adaptive-chunking need a GPU?
The project doesn't state hardware needs. AI models generally run much faster with a GPU.
Is adaptive-chunking still maintained?
It was last updated 3mo ago. Check recent issues on GitHub to judge how active it is.
What are alternatives to adaptive-chunking?
Similar free, open-source tools include PageIndex, ragflow, onyx, agentic-rag-for-dummies.