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RAG-LCC

A hands‑on RAG experimentation lab. Largely configurable with debug insights. Classification‑driven corpus construction, filter chains, document loading, chat interaction, Open WebUI integration. Experimental by design and not production‑ready.
HarinezumIgel
HarinezumIgel
Maintainer
15 stars
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RAG-LCC repository preview
About this project
A hands‑on RAG experimentation lab. Largely configurable with debug insights. Classification‑driven corpus construction, filter chains, document loading, chat interaction, Open WebUI integration. Experimental by design and not production‑ready. Maintained by HarinezumIgel on GitHub, where it has earned 15 stars from the community.
It's actively developed around chunking, context-windows, experimental, and is a solid reference for anyone building with these tools.
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Install
npm install RAG-LCC
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Python95.49%
Last updated3 days ago
LicenseMIT
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