RAG (Retrieval-Augmented Generation) and Embedding : PART — 1

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RAG (Retrieval-Augmented Generation) is a hybrid AI approach that combines: 1. Retrieval-based systems (for accuracy and up-to-date knowledge) 2. Generative models (for fluent, natural language responses) Why do we need RAG? Where was it some time back? A user enters a natural language query, such as "What are the latest features in Kubernetes 1.30?” The query is converted into... Continue Reading →

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