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Everyone Is Using RAG Wrong
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910 views16likes45ganeshghattiOriginal Release: 2026-05-18

RAG (Retrieval Augmented Generation) is over-built for small datasets that fit within the model's context window (under 100k tokens), where direct data injection is free, fast, and requires no infrastructure; RAG becomes necessary only when data changes frequently (daily, hourly, or every 12 hours) or when the product needs to cite resources and show data sources.

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