RAG (Retrieval-Augmented Generation)
Articles, tutorials, research notes, and hands-on experiments related to Retrieval-Augmented Generation. Learn how to build smarter AI applications by combining LLMs with real-time knowledge retrieval.
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What is RAG (Retrieval-Augmented Generation)
RAG, or Retrieval-Augmented Generation, is an AI framework that improves the performance of large language models (LLMs). It works by connecting LLMs to external knowledge sources, like databases or a company’s internal documents, so they can access up-to-date and specific… Continue reading
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