Rag Implementation

This is a comprehensive workflow bundle that walks you through building a production RAG system from requirements to evaluation. It covers the full stack: embedding model selection, vector database setup, chunking strategies, hybrid search implementation, LLM integration, and caching. The phased approach is genuinely helpful because RAG projects tend to fail when you skip the unglamorous parts like proper chunking or evaluation metrics. It references a bunch of other specific skills for each phase, so you're really orchestrating a toolkit here rather than getting everything in one package. Best used when you're building something real and need the structured thinking, not just prototyping a quick semantic search demo.