Master RAG Architecture with Context Engineering: The Definitive Guide
Retrieval Augmented Generation (RAG) architecture isn’t just a buzzword; it’s the backbone of practical AI, responsible for an industry projected to surge from $1.24 billion in 2024 to $67.42 billion by 2034. This approach bridges the gap between a Large Language Model’s (LLM) generalized knowledge and the specific, timely information your application needs to deliver trustworthy results.
Think of it as the framework that transforms a generalist AI into a focused, on-demand expert, powered by your data.
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