RAG skills for Claude Code
Retrieval-augmented generation skills for Claude Code — routing queries to the right store, handling empty-retrieval fallbacks, and diagnosing why a RAG pipeline returns the wrong answer.
Loreto has 6 RAG skills for Claude Code — each a packaged SKILL.md with references and a runnable test, ready to drop into .claude/skills/.
Agentic RAG Fallback
Designs a Retrieve-Check-Route fallback pattern for agentic (multi-tool) RAG systems so that when every retriever tool…
Agentic RAG Routing
Designs an agentic RAG architecture where an LLM agent acts as a dynamic router, semantically selecting the correct dom…
RAG Pipeline Vector DB
Designs a traditional RAG pipeline organized around the Query-Retrieve-Augment-Generate (QRAG) flow and its single-LLM-…
RAG Pipeline Vector Store
Designs a baseline single-hop RAG pipeline that grounds LLM answers in private or domain-specific documents via vector…
RAG Query Routing
Designs and implements LLM-backed query routing across multiple domain-specific vector stores using the retriever-tool…
RAG Relevance Fallback
Designs a conditional fallback branch in a single-store RAG pipeline so that when retrieved documents are irrelevant or…
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