RAG Patterns Skill

When to Activate

• Building AI features over your own data (docs, knowledge base, customer data)
• Implementing semantic search
• Reducing LLM hallucinations by grounding answers in retrieved context
• Building chatbots, Q&A systems, or AI assistants
• Designing prompt templates and managing prompt versions
• Selecting a chunking strategy for structured documents like Markdown, PDFs, or code files
• Adding a reranking step to improve retrieval precision before passing context to the LLM
• Optimizing RAG pipeline cost by introducing semantic caching for repeated or similar queries

RAG Architecture Overview