Rag Retrieval
yonatangross/orchestkitThese patterns help developers build systems where AI answers questions using real data. They are called RAG patterns. They make AI responses more reliable and grounded in facts. You can use them to connect large language models to your own documents or databases.
The skill covers many topics. It includes how to break down complex questions, how to search with both meaning and keywords, and how to rank results. It also covers advanced techniques like hypothetical documents and agentic retrieval. Each pattern comes with clear steps and rules.
This skill is for data engineers and AI developers. It works well with vector databases like pgvector. It can handle text, images, and PDFs. The patterns are ready to use in production.
Add Rag Retrieval skill to your workflow
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mkdir -p ~/.claude/skills/rag-retrievalProject
mkdir -p .claude/skills/rag-retrievalSource Repository
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