GiovanniPasq/chunky
Open-source toolkit for reliable RAG pipelines: convert PDFs to Markdown, clean documents, inspect chunks, compare chunking strategies, and enrich metadata for LLM applications.
- Stars
- 189
- Forks
- 20
- Open issues
- 0
- Last push
- 9d ago
chunky star history
+2 this week
About chunky
chunky is a free, open-source RAG and AI search tool by GiovanniPasq, written mainly in Python. Open-source toolkit for reliable RAG pipelines: convert PDFs to Markdown, clean documents, inspect chunks, compare chunking strategies, and enrich metadata for LLM applications. It has 189 GitHub stars and 20 forks, and was last updated 9d ago. It's released under the MIT license, a standard open-source license. According to the project, it works on macOS.
- License
- MIT
- Commercial use
- Commercial OK
- Language
- Python
- Stars
- 189
- Last update
- 9d ago
- Runs on Mac
- Yes (as stated by the project)
- GPU
- Not stated
- Paid API key
- Not stated
- Self-hostable
- Yes
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chunky FAQ
Can I use chunky commercially?
Yes. MIT is a permissive license: commercial use is allowed as long as you keep the license notice. This is a plain-English summary, not legal advice.
Is chunky free?
Yes. chunky is open source and free to use. It's released under the MIT license, a standard open-source license.
Does chunky run on a Mac?
Yes. According to the project, chunky works on macOS.
Does chunky need a GPU?
The project doesn't state hardware needs. AI models generally run much faster with a GPU.
Is chunky still maintained?
Yes. It was last updated 9d ago and has 0 open issues on GitHub.
What are alternatives to chunky?
Similar free, open-source tools include ragflow, serviette, opendataloader-pdf, storm.
Maintain chunky?
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