Cache-Augmented Generation: A Simple, Efficient Alternative to RAG

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A cost-optimization case study comparing RAG and CAG architectures, showcasing efficient API usage and local CPU deployment with Google Gemini and Llama 3.2 via Ollama.

This repository demonstrates Cache-Augmented Generation (CAG) using the Mistral-7B model.

AI-powered agent is designed to compare the performance of these two cutting-edge approaches, providing insights into their strengths, weaknesses, and real-world applications.

Original Repo for Cache-Augmented Generation (CAG)

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