The article provides an overview of advanced retrieval augmented generation (RAG) techniques. It covers various steps and algorithms involved in the RAG pipeline, including chunking and vectorization, search index, context enrichment, query transformations, response synthesis, and encoder and LLM fine-tuning. The article also
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