ALucek/QuicKB
Optimize Document Retrieval with Fine-Tuned KnowledgeBases
- Stars
- 185
- Forks
- 30
- Open issues
- 0
- Last push
- 11mo ago
About QuicKB
QuicKB is a free, open-source RAG and AI search tool by ALucek, written mainly in Python. Optimize Document Retrieval with Fine-Tuned KnowledgeBases. It has 185 GitHub stars and 30 forks, and was last updated 11mo 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
- 185
- Last update
- 11mo ago
- Runs on Mac
- Yes (as stated by the project)
- GPU
- Not stated
- Paid API key
- Not stated
- Self-hostable
- Not stated
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QuicKB FAQ
Can I use QuicKB 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 QuicKB free?
Yes. QuicKB is open source and free to use. It's released under the MIT license, a standard open-source license.
Does QuicKB run on a Mac?
Yes. According to the project, QuicKB works on macOS.
Does QuicKB need a GPU?
The project doesn't state hardware needs. AI models generally run much faster with a GPU.
Is QuicKB still maintained?
It was last updated 11mo ago. Check recent issues on GitHub to judge how active it is.
What are alternatives to QuicKB?
Similar free, open-source tools include storm, LightRAG, ragflow, FlagEmbedding.
Maintain QuicKB?
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