Rag Architect
jeffallan/claude-skillsDesign and build smart search systems that find information in your documents. This skill helps you create retrieval-augmented generation or RAG pipelines. It handles everything from splitting documents into pieces to storing them as vectors and searching with hybrid methods.
You can use it to build knowledge bases, semantic search apps, or any tool that needs to pull relevant context from large collections. It covers choosing the right vector database, picking embedding models, and testing retrieval quality.
This skill is for anyone who wants to make their AI systems smarter by grounding them in real documents. It helps you avoid common mistakes like missing metadata or bad chunk sizes.
Add Rag Architect skill to your workflow
Global
mkdir -p ~/.claude/skills/rag-architectProject
mkdir -p .claude/skills/rag-architectSource Repository
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