Retrieval-Augmented Generation helps AI systems use your own documents to give accurate answers. This skill teaches you how to build a pipeline that takes your files, breaks them into pieces, turns them into searchable numbers, and stores them in a special database. When you ask a question, the system finds the most relevant pieces and uses them to craft a response.
You will learn to pick the right tools like vector databases and embedding models. You will also learn how to test and improve your system. This skill is useful for anyone who wants to create a chatbot or search tool that works with company policies, research papers, or any set of documents.
Add Rag skill to your workflow
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mkdir -p ~/.claude/skills/ragProject
mkdir -p .claude/skills/ragSource Repository
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