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The process of finding and fetching relevant information from a knowledge base, database, or document store to provide context for an AI agent's response. Retrieval is the 'R' in RAG—without good retrieval, agents hallucinate or give generic answers. Retrieval quality depends on chunking strategy, embedding model, and index design.