Build a RAG application with LangChain and Local LLMs powered by Ollama - Azure Cosmos DB Blog
Build a RAG application with LangChain and Local LLMs powered by Ollama - Azure Cosmos DB Blog
9 months ago
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medium.com
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RAG vs. CAG, clearly explained!RAG is great, but it has a major problem:Every query hits the vector DB. Even for static information that hasn't changed in months.This is expensive, slow, and unnecessary.Cache-Augmented Generation (CAG) addresses this issue by enabling the model to "remember" static information directly in its key-value (KV) memory.In fact, you can combine RAG and CAG for the best of both worlds.Here's how it works:RAG + CAG splits your knowledge into two layers:↳ Static data (po
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