Advance your RAG pipeline by integrating hybrid retrieval methods that combine BM25 and embeddings, implementing iterative retrieval with query refinement, and summarizing multiple context chunks when needed. Learn to constrain LLM outputs to rely strictly on retrieved context, and apply advanced error handling, fallback strategies, and logging to ensure accuracy and reliability in your system.