LLM Foundations: 1 Cache, Vector DB, and RAG
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git.ir
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LLM Foundations: Vector Databases for Caching and Retrieval Augmented Generation (RAG) Online Class | LinkedIn Learning, formerly Lynda.com
LLM Foundations: Vector Databases for Caching and Retrieval Augmen…
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linkedin.com
RAG augments a standard LLM pipeline with a retrieval step; injecting external, often domain-specific data into the prompt before generation. This improves factual accuracy, enables source attribution, and avoids the need for expensive retraining. By decoupling retrieval from generation, each component does what it does best. In our new course on Retrieval Augmented Generation, you’ll learn how to build production-grade RAG systems, covering architecture, retrieval strategies, prompt design, and
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