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RAG & AI SearchMay 23, 20265 min read

RAG That Works in Production

Retrieval-Augmented Generation gives assistants and agents the right evidence before they answer. The real work is retrieval quality, source control, and ongoing evaluation.

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In this article

RAG works best when retrieval is treated as a product surface, not a hidden backend step.
Search quality depends on chunking, metadata, filters, ranking, reranking, and evaluation.
Good RAG keeps answers grounded while giving teams a way to inspect and improve sources.