Stumbling into AI: Part 3—RAG
Read OriginalThis article provides a clear, beginner-friendly explanation of Retrieval-Augmented Generation (RAG). It defines RAG as a method to improve Large Language Model (LLM) responses by retrieving and adding relevant, up-to-date context to user prompts, reducing hallucinations and outdated information. The author uses practical examples, including checking the latest Apache Kafka version, to illustrate the concept and its value in the AI/tech ecosystem.
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