HarinezumIgel/RAG-LCC

Experimental RAG playground for exploring retrieval quality, corpus construction, and filter-chain design. Features configurable ranking and filtering pipelines, visual document grounding, chat interfaces, web search, Open WebUI integration, and rich debugging insights. Ollama and vLLM, running in Dev Containers or natively on Linux and Windows.

29
Stars
3
Forks
27.3
Radar Score
Stable
Momentum

Scoring Breakdown

Impact14.1
Velocity24.6
Health52.2

Growth Metrics

7-Day Stars
+0
30-Day Stars
+0
Acceleration
x
Language
Python

Why it ranks

Modest but positive momentum.

RAG ยท rag frameworkTop 88% globally
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