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rag

Retrieval-Augmented Generation (RAG) for grounding LLM responses withexternal knowledge. Covers document chunking, embeddings, vector stores(pandas, ChromaDB), similarity search, and conversational RAG pipelines.

$ Installieren

git clone https://github.com/atrawog/bazzite-ai-plugins /tmp/bazzite-ai-plugins && cp -r /tmp/bazzite-ai-plugins/bazzite-ai-jupyter/skills/rag ~/.claude/skills/bazzite-ai-plugins

// tip: Run this command in your terminal to install the skill