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ML System Design

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easyRAG System Design
A developer builds a RAG system for customer support: users ask questions, the system retrieves product documentation chunks, and an LLM generates an answer. During testing, the LLM gives correct answers to questions whose information appears in the retrieved chunks, but the retrieval step sometimes returns irrelevant documentation sections. What component should be optimized first, and why does it matter more than improving the LLM?
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