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How to Build a Local LLM Chatbot with CAG: Streamlit, vLLM, and Smart Context Caching
- RAG and CAG are two different paradigms for building chatbots with LLMs.
- RAG is useful for large amounts of data that may change over time.
- CAG is suitable for limited data that doesn't change much, and it utilizes cached knowledge.
- CAG involves preprocessing the data once and storing it on disk for efficient question answering.
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