Retrieval-Augmented Generation (RAG): Teaching AI to Search by Meaning Before It Speaks
SMRTR summary
Retrieval-Augmented Generation (RAG) relies on semantic search technology that helps AI understand the meaning behind queries rather than just matching exact keywords. Unlike traditional keyword search that looks for word matches, semantic search analyzes intent and context to find relevant information. This foundation enables AI systems to locate more accurate information before generating responses, leading to better and more meaningful answers when users ask questions.
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