RAG system design, implementation, and optimization -- chunking strategies, embedding models, vector databases (Qdrant), hybrid search, re-ranking, advanced patterns (Graph RAG, CRAG, Self-RAG, Agentic RAG), evaluation with RAGAS/DeepEval, and production deployment
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