Generative AI has captivated imaginations, but retrieval-augmented generation – better known as RAG – is delivering measurable, grounded impact across industries medium.com. In simple terms, RAG is a hybrid AI approach that combines a large language model (LLM) with a search engine or database. The result is like giving a super-smart chatbot access to a custom library or the web: it can “look up” facts on the fly and use that information to produce more accurate, up-to-date answers. This blend of retrieval and generation helps mitigate hallucinations, anchor AI responses to real sources, and reduce the need for costly model
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A cybersecurity specialist with a passion for blockchain technology, Irene L. Rodriguez focuses on the intersection of privacy, security, and decentralized networks. Her writing empowers readers to navigate the crypto world safely, covering everything from wallet security to protocol vulnerabilities. Irene also consults for several blockchain security firms.
