data-labeling
claudeData labeling: annotation guidelines, platforms, inter-annotator agreement, active learning, weak supervision, and label error detection.
1 skill · 1 command · 1 agent
0
claude
rag-architecture
Retrieval-augmented generation: chunking, embeddings, vector stores, hybrid retrieval, reranking, grounded generation, and evaluation.
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Plugin rag-architecture from marketplace libre-mlops in HermeticOrmus/LibreMLOps-Claude-Code. Commands read from the repo's manifest — 1 month ago.
What it installs
Skills (1)
rag-architectureRAG reference across all seven layers: chunking decision tree, hybrid retrieval with reciprocal rank fusion, reranking, grounded generation prompts, retrieval and generation metrics, a vector DB performance table, a catalog of production failure modes, and runnable LangChain, pgvector, cross-encoder
Slash commands (1)
/rag-architecture:ragDesign or debug a RAG system layer by layer with the eval harness built first, or run one action (build, query, evaluate, optimize) with working LangChain and RAGAS code.
Subagents (1)
rag-engineerUse this agent when designing a retrieval-augmented generation system, debugging one that works in the demo but hallucinates or misses in production, or choosing its chunking, embedding model, vector store, retrieval, or reranker. It builds the evaluation harness (RAGAS or LLM-as-judge on a golden s
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