Krish Naik: Introduction To Undertsanding RAG(Retrieval-Augmented Generation)

Retrieval-Augmented Generation (RAG) lets your LLM peek at an external, authoritative knowledge base before it replies, so it stays accurate and relevant—even in niche or internal domains—without needing a full model retrain.

This cost-effective trick keeps your AI outputs sharp and up-to-date, tapping domain-specific data on the fly to boost accuracy and usefulness.

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