Day 21 rag (retrieval Augmented generation) vs cag (cache Augmented generation)

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Topic : RAG (Retrieval-Augmented Generation) Vs CAG (Cache-Augmented Generation)

Article Source :

• Cache-Augmented Generation (CAG): A Rising Competitor to RAG?
• CAG vs RAG: Which One is Right for You?
• Research Paper : Don’t Do RAG: When Cache-Augmented Generation is All You Need for Knowledge Tasks

TL;DR :

RAG (Retrieval-Augmented Generation) and CAG (Cache-Augmented Generation) are two approaches for enhancing AI models by providing them with external knowledge. RAG dynamically retrieves information from external sources for each query, while CAG preloads all relevant data into the model’s context. CAG offers speed and simplicity by eliminating the retrieval step, but it might not be ideal for situations where up-to-date information is crucial. RAG excels when real-time information is needed, but it can introduce complexity.