RAG is fundamental for production AI systems. The key is getting the retrieval part right - chunk size, embeddings, and reranking all matter more than people think. Without solid RAG, LLMs just hallucinate.
RAG's key benefit lies in its ability to integrate external knowledge with the input text, providing more accurate and informative responses by leveraging the strengths of both retrieval and generation.
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